4.4 KiB
name, description
| name | description |
|---|---|
| remote-truth-closure | Drive long-running implementation tasks all the way through local gates, commit and push, remote deployment, real verification, and truthful status reporting. Use this whenever the user asks to continue a multi-step task, deploy to a real server, verify whether something is truly complete, push to multiple remotes, clean a noisy remote environment, or recover a task that may have drifted from reality. Also use it for Chinese requests such as “继续推进”, “部署到 remote43”, “是否真实验证”, “任务是否完成”, or “推到三个仓库”. |
Remote Truth Closure
This skill exists to prevent false completion.
Core idea:
local green != task complete
A task is only complete when the truth chain is closed:
- local code and tests
- commit and push
- real deployment target updated
- real endpoint or real user path verified
- status board updated truthfully
When to use
Use this skill when any of the following are true:
- The user asks to continue a long-running implementation
- The task includes deploy, push, restart, remote verification, or cleanup
- The user asks whether something is really done
- You need to compare local state vs remote truth
- You are updating
EXECUTION_BOARD.mdor an equivalent source of truth
Principles
- Prefer evidence over assumptions
- Keep code changes and verification records separate
- Treat remote cleanup as part of verification quality
- Never let docs claim more than the evidence supports
Workflow
1. Reconstruct current truth
- Check tracked vs untracked changes
- Confirm repo, branch, target server, and active instance directory
- Read the latest execution board or runbook before changing it
- Identify whether previous progress was local-only or remotely verified
2. Close the local gate
- Add or update regression tests first
- Run the repo’s required quality gates
- Confirm the exact bug or missing behavior before implementing the fix
3. Commit in two layers
Prefer two commits when appropriate:
- feature or fix commit
- verification or documentation commit
This keeps behavior changes separate from proof recording.
4. Deploy carefully
When deploying to a fixed checkout:
- update the checkout to the exact target commit
- fetch to a temporary ref if the checked-out branch refuses direct fetch
- replace the real app binary, not just a build artifact
- stop the active listener PID explicitly
- restart from the real app directory with the real env file loaded
5. Verify remotely
Always verify:
/healthz- the actual API or page you changed
- the exact request path the user cares about
If possible, verify the running commit or binary hash.
Verification hierarchy
Trust signals in this order:
- real user data plane result
- host
usage_logsor equivalent request evidence - route decision or sticky or failover logs
- provider or inventory projections
- probe-only diagnostics
If a lower-level status disagrees with a higher-level proof, treat it as a false-negative candidate.
Remote cleanup
Use cleanup to reduce noise, not to hide evidence.
- Keep one active app directory and one latest fixed checkout when possible
- Remove stale bundles, duplicate stacks, and dead helper processes only after confirming they are inactive
- Clean temporary test entities after verification if they would pollute future checks
Status board rules
Only update the execution board after you have evidence.
Each verification entry should capture:
- exact commit IDs
- local gates run
- remote target updated
- concrete endpoint or request used
- key returned values
- what remains noisy or incomplete
Never write “completed” if deployment or remote verification is still blocked.
Final answer checklist
Before claiming completion, confirm all of these:
- local tests passed
- intended files were committed
- push to all required remotes succeeded
- target remote is running the intended commit
- the changed endpoint or user path was verified on the real target
- docs were updated truthfully
- unrelated artifacts were not accidentally committed
Anti-patterns
Avoid these:
- claiming done after local tests only
- using doc text as proof of behavior
- restarting by process name when multiple binaries may exist
- trusting stale probe noise over real successful requests
- committing scratch artifacts or research notes by accident