forge-eval
Skill2 starsChanged 5 months agoMITView on GitHub
Run Stage 7 of the Forge pipeline — evaluation and quality assurance.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- Dshamir/slm-forgetheir own version, first seen Oct 13, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- Dshamir/slm-forge★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository46 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- forge-opencode/CLAUDE.mdCLAUDE.md
- forge-adoptSkill
- forge-arch-proSkill
- forge-archSkill
- forge-autopilotSkill
- forge-autopilot-stopSkill
- forge-build-proSkill
- forge-buildSkill
- forge-deploySkill
- forge-doctorSkill
- dreamer-runSkill
- forge-feedbackSkill
- flowSkill
- forge-force-advanceSkill
- graduateSkill
- health-checkSkill
- forge-initSkill
- forge-monitorSkill
- forge-orchestrateSkill
- forge-plan-proSkill
- forge-planSkill
- preflightSkill
- forge-product-proSkill
- forge-productSkill
- forge-releaseSkill
- forge-resolveSkill
- forge-resumeSkill
- forge-retroSkill
- forge-reviewSkill
- forge-rulesSkill
- forge-set-profileSkill
- skill-creatorSkill
- forge-spec-proSkill
- forge-specSkill
- forge-sprint-proSkill
- forge-sprintSkill
- forge-srs-proSkill
- forge-srsSkill
- forge-statusSkill
- forge-trace-matrixSkill
- forge-uninstallSkill
- forge-validateSkill
- watchSkill
- watch-stopSkill
- forge-whySkill
The file
We split this skill into the rules it gives an agent
10 rules. About 0 are common, 2 are distinctive, and 8 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
8
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 26
If it exits non-zero, STOP: present its message verbatim and do not proceed — the prior stage must be completed first (or use …
- Very specific: line 30
Read pipeline/state.md — confirm Forge project.
- Very specific: line 32
Run python3 ${CLAUDE_PLUGIN_ROOT}/scripts/check-gate.py --stage 6 to see Stage 6 status.
- Distinctive: line 33
If critical criteria fail, warn the user before proceeding.
- Very specific: line 38
Read agents/evaluator.md to load the Evaluator persona.
- Very specific: line 40
Read pipeline/01-srs/srs.md to enumerate all REQ-IDs.
- Very specific: line 41
Follow the Evaluator workflow: run tests, check each REQ-ID for evidence, assess NFRs.
- Very specific: line 42
Write pipeline/07-evaluation/eval-report.md per the Output Contract.
- Very specific: line 43
Run python3 ${CLAUDE_PLUGIN_ROOT}/scripts/state-manager.py advance --to 7 to mark Stage 7 active.
- Distinctive: line 49
Test results are documented (not just "tests pass")
≈ “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
/forge:eval — Evaluation
When to Use
- User says
/forge:eval - User wants to verify the implementation, check test coverage, or validate against the SRS
- Working in a Forge project at Stage 6 or 7
Pre-flight Check
Entry gate (REQ-GATE-ENTRY-001) — before adopting the persona, verify the prior stage's artifact exists:
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/state-manager.py preflight --stage 7If it exits non-zero, STOP: present its message verbatim and do not proceed —
the prior stage must be completed first (or use /forge:force-advance to skip
intentionally).
- Read
pipeline/state.md— confirm Forge project. - Confirm
pipeline/01-srs/srs.mdandpipeline/04-spec/technical-spec.mdexist. - Run
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/check-gate.py --stage 6to see Stage 6 status. If critical criteria fail, warn the user before proceeding. - Run
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/load-profile.py --cwd . --stage 7to load project-type evaluation criteria. Every profile criterion inadditional_criteria(e.g., ML: model accuracy, GPU memory, drift detection; API: contract tests, load test, auth bypass; fullstack: Lighthouse, WCAG AA, responsive breakpoints; CLI: --help text, exit codes; library: API surface, semver, doc coverage) must appear as a row in the eval matrix with a pass/fail verdict and evidence.
Steps
- Read
agents/evaluator.mdto load the Evaluator persona. - Adopt that persona — you are now the Evaluator.
- Read
pipeline/01-srs/srs.mdto enumerate all REQ-IDs. - Follow the Evaluator workflow: run tests, check each REQ-ID for evidence, assess NFRs. Then evaluate each
additional_criteriarow from the profile loaded in pre-flight — for an ML project this includes the drift detection criterion (G7-ML-005). - Write
pipeline/07-evaluation/eval-report.mdper the Output Contract. The eval matrix must explicitly list every profile criterion alongside REQ-IDs and NFRs. - Run
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/state-manager.py advance --to 7to mark Stage 7 active.
Verification
After running, confirm:
pipeline/07-evaluation/eval-report.mdexists with per-REQ-ID verdicts- Test results are documented (not just "tests pass")
pipeline/state.mdshowscurrent_stage: 7
Next Step
Derive the hint from the canonical stage table — never hardcode it (REQ-NEXTHINT-001, single source of truth). Run the helper and present its output to the user verbatim:
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/state-manager.py next-hint --stage 7(If the eval found gaps, fix them and re-run this stage before advancing; the hint above is the handoff once all requirements pass.)
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.

