launch-run
Skill3 starsChanged 17 days agoMITView on GitHub
Launch a specific Coval evaluation with explicit cases and execution bounds. Use when resources are already selected; for result analysis use quick-eval.
In this repository33 other files it gives its agents.
- setup-agentSkill
- build-dashboardSkill
- coval-calibrate-metricSkill
- coval-compare-runsSkill
- coval-discover-failuresSkill
- coval-eval-auditSkill
- coval-evals-as-codeSkill
- coval-eval-startSkill
- review-llm-annotations-and-improve-promptSkill
- configure-metricsSkill
- migrate-bluejaySkill
- onboardSkill
- coval-resourcesSkill
- design-personaSkill
- personas-from-artifactsSkill
- analyze-accent-reportSkill
- analyze-adversarial-reportSkill
- analyze-audio-quality-reportSkill
- quick-evalSkill
- run-accent-testingSkill
- run-adversarial-testingSkill
- run-audio-quality-testingSkill
- watch-runSkill
- download-audioSkill
- get-resultsSkill
- consult-sofiaSkill
- build-test-suiteSkill
- distill-test-setSkill
- huggingface-importSkill
- configure-trace-metricsSkill
- debug-tracesSkill
- optimize-trace-observabilitySkill
- setup-tracingSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are 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.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 9
Use quick-eval when installed.
- Distinctive: line 11
If this skill is installed alone, follow the same minimum launch contract:
- Very specific: line 31
Use the current runs schema.
≈ “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
Launch a Coval run
Use quick-eval when installed; it covers planning, bounded execution and the
result audit. Do not bypass its session budget when invoked from that workflow.
If this skill is installed alone, follow the same minimum launch contract:
- Confirm the intended organization, workspace and API environment. Read the agent, persona, exact cases and selected metric definitions. Check command help and errors. Authentication is not proof of tenant identity.
- Prepare a structured launch request with explicit
options.test_case_ids, iteration count, concurrency, metric IDs and a verified per-call duration limit. Count cases × iterations × (1 + mutation count), per persona, including any prior runs in the session. Concurrency does not reduce total cost. - Show the concrete plan and bounded stopping condition. A request to plan or inspect is not paid-run authority; honor already granted execution authority and ask only when scope/budget must expand. Default to proposing one call for an untested connection, not the entire test set.
- Execute
coval --agent runs launch --input-json @run.json. Checkokand exit status. Save the returned run ID. If the response is ambiguous, inspect matching runs before retrying; never blindly retry a launch. - Return the run ID and actual observed status. Queued is not completed. Follow
the user's requested scope: for a completed evaluation, poll and audit results
as in
quick-eval; for launch-only, hand back the run without claiming quality.
Use the current runs schema. Do not use
/eval/*, invent command flags, add schedules, change agent defaults, or rerun
unattended. A local plan is not a server-enforced spending cap.
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.

