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pl-env

PL role sub-skill — environment doctoring. Loaded ONLY by the pl core via its routing table; NEVER auto-load from context, never invoke directly.

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  • SKILL.md7.2 KB
  • scripts/selftest/run-selftest.sh1.1 KB

SKILL.md(原文)

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PL · Env — environment self-service

Scripts named below run as bash "${PL_SKILL_DIR}/scripts/<name>.sh" ..., where PL_SKILL_DIR is the absolute path of the pl skill directory; set it in the same Bash call.

Sub-skill of the PL role. The pl core skill invokes this EXPLICITLY on any environment doubt: a "not available / missing / down" claim, a restart wish, a VM/host question, or before opening an evaluation or end-to-end run. Canonical scripts: the pl skill's scripts/. Read the host/VM registry from ${SNO_ROSTER_FILE:-}; when unset, report "no roster configured" and continue. The TSV columns are name, address, kind, purpose, and check; no machine inventory ships with the skill. Use the repo's documented service-address source when one exists. Read ${SNO_SECRETS_CMD:-} for an optional secrets wrapper: one executable path that accepts a command and its arguments, injects secrets, and preserves its exit status. When unset, report "no secrets wrapper configured" and continue. Read ${OPENAI_BASE_URL:-} for model connectivity; when unset, report "using the harness's own endpoint" and continue. Known environment traps: read the project's lessons file (ai-doc/LESSONS.md) when it exists; propose additions by card.

Environment self-service

The environment doctor is software-flavoured: each check below applies when the project uses that tool (Docker, uv/bun, git, a GPU, a VM roster); a check for a tool the project does not use is reported as not applicable, never as a failure.

Environment, resource, and startup blockers are yours (and every executor's) to fix, not to wait on — parking on an environment blocker without attempted self-service is a protocol violation. Most external stalls are environment-class, and a large share of those are FALSE blockages built on stale premises. Hence:

  1. Fresh evidence or it didn't happen: any BLOCKED-on-environment verdict must attach the on-the-spot command + output (health probe, docker ps, ls, configured secrets-wrapper check). A remembered/recorded "not available" is invalid.
  2. Self-serve the fix — general-env-doctor.sh is the standard tool: run bash "${PL_SKILL_DIR}/scripts/general-env-doctor.sh" (optionally --fix) before ever declaring an environment blocker. Classes: secrets / creds (auto-repair through the configured wrapper) / connectivity / deps (uv/bun sync, CLI tools) / workspace (stale locks, scratch directory, disk) / drift (documented ports versus Docker listeners). bash "${PL_SKILL_DIR}/scripts/general-env-doctor.sh" secret <NAME> answers "the key is missing" claims — it checks this shell and the configured secrets wrapper without printing values; every name, including API-key names, takes the same lookup. An unset wrapper is an unavailable check, not a missing key. Query the supplied roster with bash "${PL_SKILL_DIR}/scripts/general-env-doctor.sh" host [<name>]. Before dispatching a VM-dependent journey, run bash "${PL_SKILL_DIR}/scripts/general-env-doctor.sh" vm. A missing roster reports "no roster configured" and proves no VM reachable; obtain the run's host configuration before dispatching. A failed VM probe means do not dispatch onto it.
  3. Restart of a RUNNING service is script-gated (when the project uses Docker): run bash "${PL_SKILL_DIR}/scripts/docker-env-doctor.sh" <service> (deterministic). START/RESTART_OK → run bash "${PL_SKILL_DIR}/scripts/docker-env-doctor.sh" <service> --execute (Docker Compose by default, or the executable named by ENV_DOCTOR_REBUILD_CMD; two more optional settings, ENV_DOCTOR_COUNTER_REQUIRED_RE (services that must pass a work-counter probe) and ENV_DOCTOR_QUEUES (Redis queues that must be empty), are described in the script header); NO_GROUNDS → investigate logs instead; BLOCKED_BUSY → another session's work is in flight: do not restart, report with the script's evidence; INDETERMINATE → a safety signal could not be verified: take no action and report which signal is missing. By default, direct process kills (pkill, kill -9) are forbidden. Verdicts auto-append to ai-doc/ACTIVE/PL/docker-env-doctor-verdicts.jsonl (audit trail).
  4. Escalate only five things ("the owner" means whoever owns the work, often the user): restart denied by the busy check; shared prod-data mutations; money; interactive auth (gcloud/gh login — state the exact command the owner must run); a resource verified absent that needs provisioning. Escalations are precise, never a generic "environment stuck". Money beyond the ceiling or an existing grant, and any irreversible action that leaves the machine, go straight to the owner: the PL sends that card to SNO_OWNER_ADDR (the owner's own Reach address, exported before the PL starts) with the COS that supervises this lane (the Chief of Staff agent; see the pl core's Terms) on Cc, and that COS may not approve, hold or edit it (bands and lists: the live decision-rights file, ~/.config/sno/decision-rights.md when present, otherwise the shipped references/decision-rights.md in the pl skill). A credential is never one of the five. "I cannot find the key" and "I am locked out" are not escalations at any layer; check the available credential sources first. Interactive auth stays legal only because a browser genuinely needs a human at it, and only with the exact command written out; it is not a place to file a key you did not find.

Keys — the one class that is never an escalation

Two rules outrank everything else in this file: never lock yourself out, never lose the key. The encrypted-store rule below applies when the project stores encrypted user data. The operational half is here because this is where an agent lands the moment a key fails.

  • bash "${PL_SKILL_DIR}/scripts/general-env-doctor.sh" secret <NAME> — the secret lookup in item 2. Run it before the thought "the key is missing" is allowed to become a sentence in a card. If the configured sources miss, inspect the repository's documented credential source before declaring the key absent.
  • A failure to open an encrypted store is a defect, not a finding. Never write it into a document as a known limitation, never trade it away, never weaken encryption on user data to get past it. Build the rescue road, and prove it by really making the keyring unusable and really opening an encrypted store — a simulated failure proves nothing, and a restore procedure nobody has run does not exist.

Pre-run environment self-check

Before opening any evaluation or end-to-end run, check the host you will run it on ONCE: probe the run's real dependencies up front and declare any degradation BEFORE the run starts. A failing probe means choose the host NOW from the available ones; do not discover the degradation mid-run, where it costs rounds on a degraded attempt before the host question is even asked.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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概要と使いどころ

Answer how long agent work will take, how much longer active work needs, or what clock time applies. Estimate full AI-agent wall time, measure active progress first, and get owner-facing times from `sno report-time`. Never estimate human-developer time.

日本語の概要は準備中です。原文の説明を表示しています。

sno-ai/sno-station-skills2882026年10月13日 更新

Prove that a reported run caused its intended real effect. Walk the executor path from entry to effect, capture one observable per hop, and report a result a no-op could not produce.

日本語の概要は準備中です。原文の説明を表示しています。

sno-ai/sno-station-skills2882026年10月13日 更新

Give the owner one page when they come back from sleep, a meeting or a long run: what got done, what is stuck, what waits for their answer, and what it cost in quota. Use when the owner asks what happened while they were away, wants a status page, or when you finish a long stretch of work and must report it.

日本語の概要は準備中です。原文の説明を表示しています。

sno-ai/sno-station-skills2882026年10月13日 更新

Report how many problems the two brains found: mutual review (the other model checks the work, from the peer-review records) and self-check (an agent finds its own error in its own conversation, judged by that agent's own model), side by side. Use when the owner asks whether the second agent or the reviews are worth it, or wants the week's review results.

日本語の概要は準備中です。原文の説明を表示しています。

sno-ai/sno-station-skills2882026年10月13日 更新

charter

無料

Write, revise or review a charter: the one document that tells an executor what to deliver, what is out of bounds, what the owner already decided, and how each success check will be proven. Use when work needs a written brief before someone else does it, or when asked to write, change or check a charter.

日本語の概要は準備中です。原文の説明を表示しています。

sno-ai/sno-station-skills2882026年10月13日 更新

cos

無料

MANUAL-ONLY: load solely when the human owner types `/cos`, uses `$cos`, or asks you to act as the Chief of Staff (COS). The COS is the one agent the owner talks to; it coordinates the owner and the per-project Project Leads (PLs). A task card, charter, or dispatch makes you an executor, not COS.

日本語の概要は準備中です。原文の説明を表示しています。

sno-ai/sno-station-skills2882026年10月13日 更新

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