LobeHub에 AI 모델 제공자를 추가하는 과정을 안내합니다. 런타임 연동, 모델 정보와 설정, 브랜드 표시, 문서화 및 인수 확인을 다루며, 기존 제공자에 모델만 추가하는 경우와 새 연동이 필요한 경우를 구분합니다.
- LobeHub에 새 AI 모델 제공자 추가하기
- 제공자의 설정 안내나 설명 갱신하기
- 모델 추가에 새 제공자 연동이 필요한지 판단하기
실제 제품을 적절한 조작 환경에서 실행해 변경 사항을 검증하고, 사용자가 확인할 수 있는 증거를 모아 인수 보고서로 게시합니다. 기존 검증 계획을 확인하거나 점검 항목을 만들고, `lh` CLI로 결과를 게시할 수 있습니다.
End-to-end verification and self-evidence for a delivery in any repository, with or without a preconfigured verify plan. Discover an existing plan when one was handed to this run; otherwise author checks and publish a standalone acceptance. Pick the proving surface (CLI / web / desktop / iOS Simulator), drive the real product, capture visually confirmed evidence, and publish a round with the lh CLI. Triggers on 'verify the task', 'collect evidence', 'prove it works', 'upload evidence', 'verify plan', 'requiredEvidence', 'local test', 'manual test', 'test report', 'test with cli', 'test in electron', 'test desktop', or any local end-to-end verification task. Needs no ambient ids, and never depends on running inside a LobeHub conversation.
실행 점수 미검증
설치 방법 보기실제 제품을 조작해 변경 사항을 검증하고 사용자가 확인할 수 있는 증거를 수집합니다. 검증 계획을 전달받았다면 내용을 확인하고, 계획이 없으면 점검 항목을 작성합니다. CLI, 웹 앱, 데스크톱 앱, iOS Simulator 중 적절한 조작 환경을 선택해 화면 캡처나 로그 등의 증거를 기록합니다. 기존 보고서와 증거가 변경 내용을 충분히 다루고 있다면 이를 재사용하고, 부족한 점검만 수행할 수도 있습니다. 인수 보고서는 lh CLI로 게시합니다.
기능 변경이 실제 사용자 관점에서 작동하는지 확인하거나, 수동 검증 증거를 모으거나, 계획과 결과를 공유 가능한 보고서로 정리할 때 유용합니다. 이미 수행한 인수 보고서를 게시할 때도 사용할 수 있습니다.
보고서를 게시할 때 lh CLI를 사용합니다. 선택한 조작 환경에 따라 필요한 UI 드라이버가 달라집니다. 제공된 자료가 일부이므로 생략된 부분의 상세 조건은 반영하지 않았습니다.
이 소개문은 공개된 SKILL.md를 바탕으로 AI(OpenAI Codex)가 작성했습니다. 정확한 사양은 아래 원문을 확인하세요.
AI가 SKILL.md의 내용에서 주의가 필요한 작업과 도입 전제를 확인했습니다. 점수는 실제로 실행한 결과(실행 검증)만으로 매깁니다.
점수에는 넣지 않았습니다. 2026년 10월 26일 기준으로 AI(OpenAI Codex)가 판정했습니다. 참고용이므로 설치 전에 원문도 확인해 주세요.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
You are the builder for a delivery. A separate review step judges it against
a plan — checks you author, or a verify plan handed to this run. A check that
declares requiredEvidence cannot pass on your text alone: a missing artifact
marks it uncertain and holds the delivery.
author (or discover) the plan → pick the surface → capture evidence → publish the round → self-check coverage
Creating or updating a PR, marking it ready, or being asked to upload a report
must not by itself start another verification run. First inspect the requested
scope and the task's existing reports, evidence, and published acceptance links
(from the conversation, PR, or local .acceptances/ directory).
| Delivery state | Action |
|---|---|
| Documentation/instruction-only change, or pure refactor/tooling change with no product behavior change | Skip product acceptance and briefly state why. Keep any applicable quality checks. |
| Gitlink-only sync | Do not launch a fresh acceptance. Link the upstream change and its existing acceptance when available; disclose missing upstream evidence without claiming it passed. Cloud changes accompanying the sync are assessed separately. |
| Completed acceptance already published and still covers the delivery | Reuse its URL and coverage. Do not create a round or rerun cases just for the PR. |
| Completed acceptance report and evidence exist locally and still cover the delivery | Inspect coverage and artifacts, then upload that report using report.md. Preserve the original execution provenance; no product rerun, new plan, or repeated completed checker review is needed merely for upload. |
| The delivery was already exercised on the real product earlier in this session (observations and raw artifacts exist, no report yet) | Do not rerun, re-plan, or open a checker stage. Write plan[] and cases[] from the observations already made, attach the original artifacts (logs, command output, captures) with their original provenance, disclose any required medium that was never captured instead of recapturing it, and ingest. |
| Product behavior lacks valid evidence, or relevant behavior changed after verification | Execute only the missing or affected outcomes, retain unaffected evidence with its original provenance, and publish according to the round rules below. |
Evidence is reusable when its criteria cover the requested behavior, its artifacts are available and support the observations, and subsequent code, dependency, configuration, or environment changes do not invalidate those observations. Compare the relevant changes; a different commit SHA, rebase, PR event, or report publication status alone is not a reason to rerun. Failed/blocked checks and missing required evidence are not passes: repair or supplement those specific gaps. An explicit user request for fresh verification still takes precedence.
The execution, environment setup, plan/checker, and capture sections below apply when executing acceptance. For reuse or upload only, inspect the existing report and evidence and complete the necessary publication/coverage steps; do not boot services or replay completed cases. Uploading does not change when or against which implementation the evidence was captured.
The primary checks the environment, writes the plan, executes cases, inspects
evidence, repairs failures, and publishes. Use one acceptance-checker agent at two points
in the first acceptance round: give at most two feedback responses on the plan and cases
before execution, then perform exactly one quick report/evidence check against
the agreed criteria before publishing. A second plan check is optional, only
to check the primary's revisions; there is no third plan-feedback response.
Count the two stages separately. After
either stage's limit, the primary owns remaining corrections and verification.
The acceptance-checker is the plan gate — never ask the user to approve a
plan; ask the user only for a user-owned prerequisite or a product decision
that changes the plan. In both stages, the primary supplies an explicit file
list and the relevant diff text or prepared diff artifact paths. The acceptance-checker
limits code reading to these materials; it must not run git diff or discover
its own scope. This does not restrict inspection of the plan, report, or evidence.
During evidence review, use it only to identify the updates and the agreed
cases whose evidence needs checking; the core task is checking the report
against the plan and artifacts. Do not reopen requirements, expand into code
review, or investigate implementation details. Return contradictions to the
primary for explanation or repair. Follow-up rounds have no acceptance-checker: the primary
re-runs, inspects, and publishes itself. Do not delegate execution or require
per-case approval.
Read acceptance-checker.md for the input/output contract, review boundaries, and follow-up rules. Acceptance review supplements the primary's own checks and any configured verifier; it does not replace either. If delegation or required media inspection is unavailable, disclose the missing review and unverified claims rather than claiming independent acceptance.
Before touching an environment, check for .agents/acceptance/:
| File | What it owns |
|---|---|
PROJECT.md | Start/stop commands, ports, services, auth, surfaces, probes |
PROCESS.md | The run process: plan gate, execution rules, teardown |
common-mistakes.md | Project living log — what earlier rounds got wrong here |
probe-mock-patterns.md | Project living log — how to force state on this product |
The project layer owns how this repository is run; this skill owns what a
valid round is (plan, evidence, report, immutable round, the hard rule). On
running, the project layer wins; on what may be published, this skill wins. Never
invent a start command, port, or auth flow PROJECT.md answers; fix a divergence
in the adapter during the run instead of working around it. No
.agents/acceptance/ → bootstrap one first:
project-adapter.md.
Both layers (this skill's generic copies and the project's own) are loaded once the target is known, silently:
pass. Pull an
entry by id only when a checklist line applies to a case.rg over the body is the fallback.rg -n '^#{2,4} ' <file> # the index, with line numbers
sed -n '<start>,<end>p' <file> # one entry, in full
Record new project-specific learnings in the project layer only.
Every evidence command targets a round. The authored path is the default; you
have an operation id only when the invocation names one. Never hunt the
environment for one, and never report this skill inapplicable — a round without
an operation is simply recorded as standalone.
| You have | Path |
|---|---|
| No plan — you author the checks | Write result.json + assets/, publish with lh acceptance run ingest — report.md |
| An operation id you were given | Read the frozen plan, write the same round directory keyed by its check item ids, publish with ingest --operation — plan-format.md |
The paths differ only in where the checks come from and which round the ingest
lands in. Capture is identical: the surface guides, recordings with
chapters, before/after pairs, screenshots you
looked at, proposal.md. A handed-down plan never licenses a lighter capture.
Pass --subject (task:<id> / topic:<id> / document:<id>) only when the
caller named one; otherwise ingest attaches the round itself when it can and
creates a standalone acceptance when it cannot. On the first ingest, always supply
--requirement "<one-sentence business goal>" — the durable goal of the whole
acceptance, not this round's scope; it is immutable once recorded.
Prerequisites: run lh acceptance preflight --json before writing any plan or
report text — an auth error means stop and surface it — and install only the UI
driver the selected surface needs; probe before adding dependencies, and never
substitute a private agent plugin. Its language.locale is the report
language: write every human-readable field (title, plan, case names,
observations, evidence descriptions, conclusion, report.md, proposal.md) in
it, even when the prompt that invoked you is in another language — a delegating
agent's prompt does not show which language the user reads. The publish commands
reject text in the wrong script, so run lh acceptance run ingest <dir> --dry-run
as soon as the plan is in result.json, before executing it. When
language.status is unset, use the language the user converses in. On a CLI
without preflight, check auth with lh acceptance run list --json.
Before authoring checks, identify the independently reviewable user tasks in the requirement. Use those tasks as business groups, not the PR title or test surface. For example, reassignment, scheduled continuation, and failure recovery can be separate groups when the delivery covers all three; do not impose these groups on unrelated work. Each check should have an outcome the user can accept or reject independently. Keep shared entry/accessibility checks separate and avoid repeating their expectations across business checks.
When acceptance depends on a sequence of user states, publish its graph during planning, before implementation or verification begins. Keep the checklist paths above for independent checks; a graph is optional and does not replace evidence or human review.
For flow-based plans, each flow's title is its checks' default checklist category. Publish independent user journeys as separate flows in the same acceptance/run; use subflows for actual composed journeys. An umbrella flow containing checks for several independent tasks collapses them into one checklist group. Edges must describe real user transitions, not artificial links added to make unrelated checks reachable. Start at the user entry and follow the journey through outcomes and recovery; UUIDs identify nodes and must not encode business order. Read back the published plan and inspect its groups and reading order before execution.
For an existing acceptance that only needs different checklist groups, use
lh acceptance regroup <acceptanceId> --file groups.json. Read the acceptance
bundle first; write { expectedVersion, groups: [{ title, checkItemIds }] },
using the exact union checks[].id values and
acceptance.metadata.checkGrouping.version (0 when absent). The groups replace
the current presentation grouping; an empty list restores plan categories.
Unassigned checks keep their plan category. This preserves check IDs, numbering,
evidence and review history without creating a round. It does not change flow
transitions or verification conditions. Do not move execution nodes or start a
new round just to reorganize the checklist; those operations have different
execution semantics.
Use the named acceptance, or create one before publishing the flow. If none
was named, first run lh acceptance create --help and confirm it shows
Usage: lh acceptance create [options] and --requirement. Parent-command
help or a zero exit code alone does not prove support. If unavailable, upgrade
@lobehub/cli to a release that supports this command and check again;
updating the skill alone does not upgrade the CLI. If still unavailable,
report flow-first creation as blocked. Do not invent a subject ID, upload an
empty report, or substitute lh acceptance run create (which creates a round).
lh acceptance create --title "Checkout recovery" \
--requirement "Customers can recover from a declined payment and complete checkout" --json
--requirement is a required, nonblank durable business goal; --title is
optional. Omit --subject for a fresh standalone subject, even when an ambient
topic exists. Pass --subject task:<id>, topic:<id>, document:<id>, or
standalone:<id> only for an explicitly supplied subject. Reusing a subject
preserves its recorded requirement, title, and state; it does not reopen it.
Creation does not create a verification round, report, results, or passing verdict.
The JSON contains acceptanceId, acceptanceUrl, requirement, status,
and subject: { subjectType, subjectId }. Use acceptanceId in all flow
commands below, not subject.subjectId or a verification run ID. Share
acceptanceUrl verbatim; it already uses the CLI's configured server.
Write a JSON file with definition: { title, entryNodeId, nodes, edges }.
Give nodes and edges stable UUIDs. Each node has id and exactly one of
criterionId (existing check asset), check: { id, title, definition }
(a check asset with steps, fixtures, preconditions and expected outcome), or
subFlowId (another flow in this acceptance). Edges have id, sourceNodeId,
targetNodeId, trigger, required, and optional condition. Every node must
be reachable from the entry. Publish child flows before referencing them.
lh acceptance flow publish <acceptanceId> --file flow.json saves the
definition and returns flowId. To edit it, include that flowId and the
current expectedHash in the file. lh acceptance flow view <acceptanceId>
reads definitions, snapshots and results. Publishing does not execute checks.
Revise a graph in place rather than publishing a second one; a superseded
graph left behind still renders as its own journey with its own unexecuted
checks. lh acceptance flow delete <acceptanceId> --flow <flowId> removes
one that never should have existed, and only while it has no verified
history: it is refused once a settled round has run it, or while another
flow invokes it as a subflow.
lh acceptance flow plan <acceptanceId> --flow <flowId> creates a draft round
with the graph and its plan. While the round is only planned it follows the
live graph: publishing an edit refreshes its snapshot and plan in place, and
running flow plan again refreshes the same draft instead of opening another
round. Add --run <verifyRunId> to attach another flow to the same draft. Read lh acceptance run get <verifyRunId> --json for
the actual plan IDs: each branch and subflow invocation has its own
checkItemId; never substitute the reusable asset ID.
Share the acceptance link so the user can inspect the proposed nodes, branches
and expected outcomes before implementation. Read and address any actionable
feedback. Preparing a plan neither executes checks nor approves delivery;
there is no separate flow-confirmation action. Continue within the user's
authorized scope, or pause if the user explicitly asked to review before work.
For requested changes, publish the revised definition with its flowId and
expectedHash; the draft round follows automatically. Never open another
round or another flow just to revise a plan that has not executed.
Implement the work and exercise the real product, then use
lh acceptance flow record <acceptanceId> --file result.json, containing
verifyRunId, checkItemId, verdict (passed, failed, uncertain, or
blocked) and observation. Record only what was observed. Use the returned
result ID to attach required artifacts through lh acceptance run evidence
(inspect its --help), following the same evidence rules as checklist checks.
After all required checks are recorded and passed, run
lh acceptance flow complete <acceptanceId> --run <verifyRunId>. Completion
settles verification; it does not accept the delivery on the user's behalf.
Read back the round and verify evidence coverage before handing it over.
To rerun the exact old graph, prepare a plan with --from-run <sourceVerifyRunId> and
omit --run for a fresh round. This preserves the old definition and starts
without results. Each replay starts as an unexecuted draft. A round is frozen
by its first recorded result; only then does it keep its number. An
lh acceptance run ingest that reaches an acceptance whose latest round is
still a draft folds into that draft rather than opening a new round. Accepted or closed
acceptances must be explicitly reopened
before starting. Edges describe business transitions; they do not automatically
schedule execution. Continue to read lh acceptance feedback <acceptanceId> --actionable before repairs and publish new rounds into the same acceptance.
Every check MUST be an outcome a person decides about the delivery: what the
user sees, hears, reads, or receives. These MUST NOT appear as a check, under any
phrasing: unit / integration / regression / snapshot tests, coverage,
type-check / tsc, lint / eslint, format, "compiles", "build passes",
"CI is green". Run them, then report them as one line of narrative.
Enforced at ingest: every matching item (matched on title, category, AND
method — "run bun run test" under a product-sounding title still matches) is
dropped with a warning and summary recounted; a round of only such checks
fails to publish. The line is the subject of the check, not who judged it:
a CLI behavior asserted by a command is a fine check (verifier: "program");
"the suite is green" is not. Before writing any plan, ask of each draft check:
would the user click accept/reject on this?
A published round is a permanent record. Never re-submit into a round after changing the code — publish the re-verification as the next round and let the acceptance page show the progression.
Before a repair round, read the aggregate with
lh acceptance view <acceptanceId | type:id> --json. Omit checks whose latest
userReview.action is accept; address non-stale rejects under their exact
stable ids; when a check semantically replaces another, declare
supersedes: ['old-id'] and repeat the full lineage in every later round that
reuses the successor id. Pass --acceptance <acceptanceId> so the round joins
the same history.
Not judgment calls — the moves an agent under pressure makes and must not. Each excuse below was made in a real round.
| Excuse | Reality |
|---|---|
| "Injection is hard; happy-path plus unit tests covers it" | The error state was the goal. Walk the probe ladder (probe-mock-patterns.md A) before calling it blocked. |
| "The branch name says what to verify" / "Loading the living logs first…" | The task lives in the user's words. Recover it, or confirm a labeled guess with one structured question — silently; never narrate setup. |
| "The black frame is probably display sleep / a permission" | Measure first: pixel brightness, the permission bit, an A/B with one variable toggled. Publish "confirmed by X" or "suspected", never a guess. |
| "Let me ask how they want it run" / "I'll click Sign in and you authorize" / "too small to screenshot" | Environment mechanics are yours: full isolated run, auth by direct injection (never an interactive login — it hijacks the user's browser), a screenshot for every user-facing change. Ask only about the product decision. |
| "One more config edit and the env will boot" / "I'll mock it" / "I'll drive the rest myself" | Timebox. Inventory running instances, probe for the real capability before mocking (a mock that records nothing is not in the path), re-delegate a dead subagent's remaining steps. Search the project layer (.agents/acceptance/, including references/) for the exact error before asking; if it has no fix, revert experiments and ask for the missing prerequisite. |
| "The fix is in and tests pass — verified" | Reproduce the failure's precondition first, then verify with it held. A run that cannot fail proves nothing; "reproduces sometimes" means an unnamed precondition. When the mocked seam is the suspect, drop the mock. |
Match the requirement to the cheapest surface that can prove the complete outcome, not merely the layer containing the code change. A backend fix for missing cards, stale lists, navigation, or another visible behavior still requires the consuming UI, its actual data response, and inspected screenshots. Database assertions and passing tests support that evidence; they do not replace it.
| What your task changed | Surface | Guide |
|---|---|---|
| Backend / CLI / library / data logic with no UI outcome | CLI — stdout as text, zero UI flakiness | surfaces/cli.md |
| Web app frontend / styles / interactions | Web (agent-browser → running web app) | surfaces/web.md |
| New/changed API plus the UI consuming it | Web, full-stack (agent-browser + network capture) | surfaces/web.md |
| Desktop-only behavior (native windows, IPC, packaged shell) | Electron (agent-browser --cdp) | surfaces/electron.md |
| Native macOS app / OS chrome agent-browser can't reach | Native (osascript + screencapture, local macOS) | surfaces/native.md |
| Native iOS behavior, gestures, device-size layout | iOS Simulator (sim-use/AXe + simctl) | surfaces/ios-simulator.md |
blocked if the CLI cannot express the gesture.cases[].datasets +
cases[].visualizations; raw CSV/JSON stays as evidence), not a PNG —
report.md. A deliverable
the user hears needs audio —
evidence.md.comparison pair of the same view on the pre-change and
post-change code — report.md.
An after-only shot of a toast reading 重命名遇到了问题,请重试 does not show
it replaced Rename failed. Prove the before half really runs the old code
(probe-mock-patterns.md A6); text that
does not render visibly, such as an aria-label, also needs the DOM reading.
UI with no prior state is exempt.interaction-trace.jsonl; optional, never hand-written —
interaction-cost.md.Every file submission MUST include a non-empty, reviewer-facing description
(--desc for CLI submissions; description for tools and ingest entries).
Identify what the file contains and what it demonstrates for this criterion.
A filename, path, artifact id, or generic label such as "evidence" is not a
sufficient description. This also applies when a text file is stored inline.
Shared rules for every artifact — media types, provenance, file vs inline, safety — are in evidence.md.
Write each check's observation and inline explanation in the report language,
usually 1–3 short sentences: what was done, what happened, and any limitation
needed to judge that outcome. Do not paste the execution report into the check.
Omit repeated titles, verdict labels, SHA/port/ID headers, environment boilerplate,
and round-history explanations. Put shared setup and revision details once in
the round report; keep commands, traces, raw output, and detailed reasoning in
separate evidence attachments. Briefly disclose a limitation in the check when
it changes the verdict; concision must not hide missing verification.
Example: “转派后,新 Agent 收到原对话上下文并创建了独立话题。刷新后消息仍保留。” For a failure, name the unmet outcome directly, without recounting the debugging process. Keep required evidence complete; shorten its presentation, not the work.
Cloud browser links use https://lobehub.com. For all acceptance, round,
cleanup, and upgrade URLs in this skill (including instructions below that say
"verbatim"), normalize LobeHub Cloud origins to https://lobehub.com, preserving
the path, query, and fragment. Cloud hosts are lobehub.com and its subdomains.
Keep self-hosted and development origins unchanged. This changes display links,
not the CLI's configured API server.
Keep the Skill installation resource at
https://app.lobehub.com/acceptance/skill.md.
Close every browser session this run opened
(agent-browser --session <name> close, web teardown)
before handing off; a session left open keeps a full browser running
indefinitely. Stop this run's resource guard
(resource-guard.sh stop --state-dir <run state dir>) as well, and state in the
round report whether it
reached yellow or red and what that stopped; a run that hit red must say which
checks it left blocked instead of passing.
Before declaring the task done, prove coverage: for each check with
requiredEvidence, every declared type is present at least once. Report it
explicitly; a missing type holds the delivery at uncertain no matter how good
the work is.
Storage limits require a user-facing recovery handoff. For report ingest,
atomic evidence upload, or result submission with a file, recognize
recovery.reason: "storage_quota", failedEvidence[].reason: "storage_quota",
or a storage_block: error. Do not stop at "upload failed" or "noted in the PR":
recovery.cleanupUrl and recovery.upgradeUrl verbatim and following
recovery.message, applying the Cloud browser-link rule above. Never delete
user data automatically. Deletion is permanent.
recovery.scope: "workspace"): clean up that workspace's
files or upgrade that workspace's plan. The cleanup link opens its
resource library, not an acceptance list; do not invent an acceptance-purge
checkbox there. Ask its owner/admin for cleanup or billing access. Personal
cleanup or a personal upgrade does not resolve a workspace limit.lh doctor --offline --json and lh workspace current --json. Personal scope
uses /acceptance and /settings/plans. For workspace scope, resolve its slug
with lh workspace view --json, verify the returned ID matches the active
workspace, and use /:workspaceSlug/resource and
/:workspaceSlug/settings/plans; there is no /:workspaceSlug/acceptance
route. If lookup fails, give scope-specific guidance without guessed links.
Strip URL username/password when constructing display links. For LobeHub Cloud,
personal cleanup uses https://lobehub.com/acceptance; personal plan upgrades use
https://lobehub.com/settings/plans. Workspace resource and plan paths use
https://lobehub.com. Keep self-hosted users on their configured server.failedEvidence[].retryArgs or
retryCommand, not the whole ingest. For an atomic upload/submission that saved
nothing, retry that command. Supplementing evidence does not change recorded
verdicts; read back coverage and do not claim the delivery is complete while
required evidence is missing.Record the deployed preview. When the delivery is deployed somewhere a
reviewer can open (a pull-request preview, a staging URL, a dev server on this
machine), run lh acceptance preview <acceptanceId> <url> after the round is
published. The URL must be https, or http on localhost/127.0.0.1. The
acceptance page then offers "Review on preview", where reviewers comment on the
live page; lh acceptance feedback lists those comments with the page URL and
the file:line they were pinned to. Skip this when nothing is deployed — never
invent a URL.
The final response for a completed handoff MUST include the published acceptance URL together with the coverage result — never only a check-result id or a prose claim. Obtain the links from the path you actually executed:
acceptanceUrl returned by
lh acceptance run ingest --json verbatim.acceptanceUrl returned by
lh acceptance run ingest --operation <id> --json. When the plan needed no
ingest, or the CLI predates plan-round ingest, follow the read-only
plan handoff lookup
instead. Do not ingest without --operation, create another acceptance, or
resubmit evidence merely to obtain a link.Never guess a host, acceptance ID, or round index. The documented plan lookup is the only reconstruction needed for CLIs whose submission output contains only an internal run URL. If the run has no acceptance association or the lookup fails, report the handoff as blocked and preserve the submitted evidence; do not declare delivery complete or fabricate a link. Put no images, local paths, local file links, or internal run-page paths in the chat reply.
Write the link as a plain-text line, never inside a fenced or inline code block — the chat client only linkifies plain text, and a code block makes it unclickable. Hand off only the acceptance URL: the acceptance page opens on its latest round, so a separate per-round link adds nothing for the reader. Replace the placeholder below with the URL from the selected path:
Acceptance: <acceptanceUrl, verbatim> Coverage: 2/2 criteria, all required evidence uploaded
agent-browser screenshot / dom /
eval run headless; screencapture / osascript are macOS-only. iOS: xcrun simctl io over host-window capture. Rounds land under .acceptances/;
allocate them with new_round (report.md),
which seeds the .acceptances/.gitignore that keeps them out of git.assets/ and its case
into result.json the moment it is captured, so a crash near the end loses
nothing; then publish the round once.flag; the
reviewer seeks to them instead of watching the whole clip —
video-chapters.md.For both acceptance-checker handoffs and review output, read acceptance-checker.md.
| Need | Reference |
|---|---|
| Bounding a run's memory use | resource-guard.md |
| The project layer, bootstrapping an adapter | project-adapter.md |
| Mistakes checklist (read every round) | common-mistakes.md |
| Forcing state, error injection, runtime probes | probe-mock-patterns.md |
Authored rounds, result.json, ingest | report.md |
| Plan-driven rounds: plan, ingest, coverage | plan-format.md |
| Evidence media, provenance, submission, safety | evidence.md |
| Interaction cost overlay | interaction-cost.md |
| Web/Electron Chromium CLI commands | agent-browser.md |
| iOS Simulator driver CLI commands | sim-use.md (preferred), axe.md (fallback) |
| Bundled CDP screenshot and macOS capture preflight | screenshot-helpers.md |
| Authenticated Web session | auth-web.md |
| Native macOS / OS-owned step | computer-use.md |
| Video chapters: steps, checks, flags on a clip | video-chapters.md |
| Temporal evidence: Web/Electron, iOS, native | recording-cdp.md, recording-ios-simulator.md, recording-native-macos.md |
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