launch-control
Use when implementing a medium or large coding project from a written spec, plan, or product goal where drift, skipped validation, PR correctness, or multi-block delivery risk matter.
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See how to installFiles included (7)
- SKILL.md5.8 KB
- .gitignore24 B
- agents/openai.yaml219 B
- CONTRIBUTING.md489 B
- LICENSE1.0 KB
- README.md2.8 KB
- SECURITY.md351 B
SKILL.md (original)
Review the instructions the agent will receive before you install.
launch control
treat the plan as the contract and every merged pr as evidence. the executor codes; a separate independent subagent reviews alignment, truthfulness, and working proof before merge. self-review is not enough.
do not use
- tiny one-step fixes.
- pure q&a, brainstorming, or read-only review.
- work where the user explicitly does not want prs, subagents, or formal gates.
workflow
-
write or load the plan first.
- extract phases, acceptance criteria, commands, artifacts, stop conditions, and missing inputs.
- if the plan is vague, write the concrete implementation plan before coding.
- keep the plan lean enough to execute, not a speculative architecture dump.
- create or reuse an append-only
DECISIONS.md/PLAN_CHANGES.mdfor plan amendments, scope changes, and discovered constraints.
-
establish execution rules.
- use the repo's real stack and real integrations.
- no mocks, demos, fallbacks, or fake validation unless the user explicitly asks.
- use the smallest working implementation per block.
- use a log reducer such as context firewall for noisy commands when available; keep raw evidence accessible by span or log.
-
work in logical blocks.
- one block should map to one plan item or one coherent slice.
- create a branch, implement, run the block's real checks, commit, push, and open a pr.
- pr body must name the plan block, what changed, why, and which real validation passed.
- if a block exposes a plan flaw, new assumption, changed scope, api/data-model change, or acceptance-criteria change, add an entry to
DECISIONS.md/PLAN_CHANGES.mdbefore asking for implementation approval. - author flags such as
plan_changed: noare only hints. they are never proof.
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send each pr to a separate independent reviewer subagent.
- this is mandatory for launch-control. do not self-review your own pr.
- reviewer is a gate, not a co-author.
- ask for
approvedorchanges_requested. - reviewer must check plan freshness first, then implementation correctness.
- freshness gate:
- read the actual plan file, decision log, pr diff, and validation output;
- do not trust the executor's self-report about whether the plan changed;
- independently diff the pr against the plan/current block;
- reject before code review if the pr reveals stale plan, new assumptions, scope changes, api/data-model changes, or acceptance-criteria changes without a decision-log entry;
- reject if the decision-log entry looks like plan laundering: changing the plan only to justify a bad or unproven implementation.
- implementation gate:
- check whether the pr itself is correctly implemented;
- verify no scope drift or hidden behavior changes;
- verify real validation evidence supports the pr claims;
- verify tests cover the changed behavior at the right level;
- verify no fake success, mocks, fallbacks, or unverified claims slipped in.
- if rejected, fix only the rejected issues, rerun validation, update the pr, and ask for re-review.
- do not merge until approved.
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merge and continue.
- after approval, merge the pr, return to main, pull, and confirm the tree is clean.
- update progress against the plan.
- start the next block only after the previous one is merged or intentionally abandoned.
-
finish with a completion audit.
- re-read the plan and list every explicit requirement, artifact, command, and invariant.
- verify each item against current files, pr state, tests, runtime behavior, or command evidence.
- run the final real gate.
- confirm no open prs and no dirty worktree.
- report blockers plainly; do not mark complete on partial evidence.
reviewer prompt
review pr #n in <repo path> against <plan path or summary>.
use a minimalist senior-engineer mindset: no invented issues, no over-review.
return approved or changes_requested.
check:
1. plan freshness:
- read the actual plan file and decision log from the repo.
- read the pr diff and validation output.
- ignore the executor's self-report except as a hint.
- did this pr introduce new assumptions, scope changes, api/data-model changes, or acceptance-criteria changes?
- if yes, is there a justified decision-log entry?
- is the decision-log entry legitimate, or is it plan laundering to excuse bad code?
- if plan freshness fails, return changes_requested before code review.
2. plan alignment:
- did the executor drift from the plan, user intent, or intended block?
- is this pr doing the right slice now?
- is the pr too large to review safely?
3. pr correctness:
- is the implementation correct for the intended behavior?
- does the pr claim only what the diff and validation prove?
- did real tests/builds/integrations run?
- are there mocks, fallbacks, demos, or hidden shortcuts?
- is the scope small enough to merge safely?
do not edit files.
stop conditions
stop and escalate when:
- required real credentials, data, services, or user decisions are missing;
- a separate reviewer subagent is unavailable and the user has not explicitly waived the gate;
- the plan is too vague to diff a pr against a specific block;
- a pr reveals stale plan but no justified decision-log entry exists;
- a command proves the local environment is broken outside the project;
- reviewer rejects the same issue repeatedly and the fix would change scope;
- continuing would require destructive, irreversible, or externally visible action.
do not stop for ordinary failures. fix them, rerun the real checks, and keep moving.
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