execution-telemetry
Skill2 starsChanged 31 days agoMITView on GitHub
Records ExecutionRun and Experience artifacts at workstream close
- Reads credentials
In this repository52 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .cursor/rules/00-core-operating-model.mdcCursor rule
- .cursor/rules/01-plan-approval-gate.mdcCursor rule
- .cursor/rules/02-git-worktree-policy.mdcCursor rule
- .cursor/rules/03-validation-definition-of-done.mdcCursor rule
- .cursor/rules/04-documentation-memory.mdcCursor rule
- accessibility-reviewSkill
- agent-skills-packagingSkill
- autonomy-budgetSkill
- bounded-autonomySkill
- candidate-promotionSkill
- capability-planningSkill
- code-reviewerSkill
- code-structure-cleanupSkill
- compass-evaluatorSkill
- context-inodesSkill
- dependency-supply-chainSkill
- docker-cloudSkill
- embedding-providersSkill
- experience-routingSkill
- experience-skill-trainingSkill
- external-knowledge-ingestSkill
- github-integrationSkill
- goose-agent-orchestrationSkill
- harness-gcSkill
- hosted-vector-dbSkill
- implementation-planningSkill
- ios-engineeringSkill
- knowledge-stewardSkill
- linear-integrationSkill
- node-engineeringSkill
- northstar-connected-routineSkill
- notion-integrationSkill
- package-registry-tiSkill
- persistent-role-promotionSkill
- playwright-browser-validationSkill
- postgres-prismaSkill
- procedure-playbooksSkill
- project-overseerSkill
- pull-request-preparationSkill
- python-mlSkill
- react-engineeringSkill
- repository-discoverySkill
- review-fix-loopSkill
- security-audit-proceduresSkill
- security-reviewSkill
- skill-learning-loopSkill
- skill-lifecycleSkill
- source-code-contextSkill
- technology-intelligence-liveSkill
- testing-validationSkill
- worktree-orchestrationSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 36
Verify artifacts under .agent/runs/<run-id>.json and .agent/experience/<experience-id>.json.
- Distinctive: line 39
Do not commit product-repo Experience JSON by default (control-repo test fixtures only unless Captain requests otherwise).
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Execution Telemetry
Use this Skill when
Closing a workstream (/close-workstream), preparing a PR completion report, or
when the Captain asks to record learning from a finished plan.
Inputs
- Plan ID
- Outcome (
success|partial|failed|cancelled) - Optional: skills used, issue, branch, PR URL, objective summary
Procedure
- Confirm plan status is COMPLETE (or Captain-approved stop).
Record telemetry from the control or product repo root:
./scripts/record-execution-run.sh \ --plan-id <plan-id> \ --outcome success \ --objective "<short objective>" \ --skills "skill-a,skill-b" \ --issue "<issue-url>" \ --branch "<branch>" \ --pr "<pr-url>" \ --repo-root <repo-root>- Verify artifacts under
.agent/runs/<run-id>.jsonand.agent/experience/<experience-id>.json. - Link the Experience id in the completion report / PR body.
- Do not commit product-repo Experience JSON by default (control-repo test fixtures only unless Captain requests otherwise).
Output
Schema-valid ExecutionRun + Experience paths.
Prohibited actions
- Capturing secrets,
.envcontents, or private keys in telemetry - Auto-tuning matcher weights from Experiences (Level 3 — out of scope)
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

