forge-verify
Skill2 starsChanged 6 days agoMITView on GitHub
Use after every work package (is dit echt gedaan): check the done-claim.
3 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- brightstack/forgetheir own version, first seen Nov 8, 2026
- CodeWithJuber/forgekittheir own version, first seen Oct 13, 2026
- ForgeyClap/claude-forgeedited, first seen Oct 11, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- ForgeyClap/claude-forge★ 293% same
Wrote their own version · 2
- brightstack/forge★ 13same name
- CodeWithJuber/forgekit★ 2same 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 repository99 other files it gives its agents.
- docs/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- brainstormingSkill
- claude-md-improverSkill
- dispatching-parallel-agentsSkill
- executing-plansSkill
- finishing-a-development-branchSkill
- forge-a11ySkill
- forge-agent-reportSkill
- forge-agentSkill
- forge-apiSkill
- forge-authSkill
- forge-autoresearchSkill
- forge-botsSkill
- forge-brainstormSkill
- forge-cliSkill
- forge-cmsSkill
- forge-code-reviewSkill
- forge-contextSkill
- forge-councilSkill
- forge-craftSkill
- forge-databaseSkill
- forge-dataSkill
- forge-debugSkill
- forge-deeplearnSkill
- forge-devopsSkill
- forge-docdriftSkill
- forge-doctorSkill
- forge-ecc-adapterSkill
- forge-ecommerceSkill
- forge-electronSkill
- forge-extensionSkill
- forge-figmaSkill
- forge-fullstackSkill
- forge-gameSkill
- forge-graded-verifySkill
- forge-guardianSkill
- forge-heartbeatSkill
- forge-i18n-docsSkill
- forge-intakeSkill
- forge-integrationSkill
- forge-long-form-writingSkill
- forge-mcp-clientsSkill
- forge-memorySkill
- forge-migrationSkill
- forge-mindmapSkill
- forge-mlopsSkill
- forge-mobileSkill
- forge-n8nSkill
- forge-nightshiftSkill
- forge-observabilitySkill
- forge-paymentsSkill
- forge-plan-largeSkill
- forge-prdSkill
- forge-predictionSkill
- forge-projectbrainSkill
- forge-prompt-coachSkill
- forge-qualitySkill
- forge-ragSkill
- forge-registrySkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
0
Distinctive
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 9
Self-improvement substrate (wp-skill-evals): before applying this skill, read learnings.md in this skill's own folder and honor its …
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
forge-verify — the verify-loop
Self-improvement substrate (wp-skill-evals): before applying this skill, read
learnings.md in this skill's own folder and honor its corrections. After a run that produced a
genuine correction (an owner fix, a false assumption caught, a preference stated), append it to
learnings.md with a date and real evidence — never invent a lesson that didn't happen.
Closes the honesty gap between "an agent said it's done" and "the recorded events actually show it's done." Never trusts a completion claim on its own.
When to use (MANDATORY)
- After each agent/work-package completes in a
/forgerun — before the Lead treats that agent's output as final. - At the end of the run, before writing the final report — a last honest check across every agent and every ticket the run touched.
- Whenever the owner asks "did that agent actually finish?" or "check the tickets are really closed."
How to run
node .claude/forge-bin/forge-verify.cjs <run_id> # report only, exit 0/1
node .claude/forge-bin/forge-verify.cjs <run_id> --enforce # report + send mismatches back
node .claude/forge-bin/forge-verify.cjs <run_id> --json # full machine-readable result
node .claude/forge-bin/forge-verify.cjs <run_id> --root <projectRoot> # target a different project rootExit code: 0 when there are no mismatches and no open tickets for the run; 1 otherwise — safe to gate a hook/CI step on it.
What it checks
Reconstructs per-agent task state from <run>/events.jsonl using forge-verify.cjs's own BACKBONE +
taskStatus() — the sole, canonical classification (this used to also mirror the retired
per-project Control Center's forge-dashboard/app.js, which was removed along with the rest of that
dashboard): structural milestone events (run_started,
agent_completed, lead_review_completed, …) are never counted as a "task"; every other event
attributed to an agent is a task, and a task is "done" only when its status genuinely resolves to done.
An agent "claims completed" once it has logged agent_completed or subagent_completed. A mismatch
is an agent that claims completed while some of its own tasks are still open, running, or failed.
It also checks the ticket store (forge-bin/forge-store.cjs, forge-tickets/): any ticket whose
run_id matches this run and whose status isn't done is reported open.
What --enforce does
For every mismatch, logs three already-registered events (no invented event_type names — see
forge-dashboard/log-event.cjs KNOWN_EVENT_TYPES):
lead_review_completed (the review finding) → rework_task_created (what's wrong + the required fix) →
rework_assigned (back to the same agent).
For every open ticket belonging to the run: re-stores it with status: 'open' unchanged plus a note,
and logs ticket_updated.
The task is now visibly back with the agent. The Lead must re-dispatch that agent with the open items listed in the rework event before treating the work as done again.
Claim mode — grade ONE done-claim
The run check above asks "do the events agree with the claim". Claim mode asks the harder question: does the artifact itself prove it? Verify Boss uses it per work package.
node .claude/forge-bin/forge-verify.cjs --claim <packet.json|-> --strip # what you may read
node .claude/forge-bin/forge-verify.cjs --claim <packet.json|-> [--runner <out.txt>] [--json]- Read only the stripped packet.
--stripkeeps the artifact, the acceptance criteria, the runner output and the claimed test names, and names every dropped field. The builder's story is not evidence. - Try to break it before you judge. Name one property the result implies and look for a small
counterexample (an empty input, a boundary, the other platform). Record it as
judgement.break_attempt. - Judge every criterion (
metwith evidence,unmet, orunknown), or abstain with a reason.
| Verdict | Gate (wp_verified.verdict) | Exit | Counts as pass |
| PROVEN | PASS | 0 | yes |
| NOT-PROVEN | FAIL (one escalation follows) | 1 | no |
| PARTLY-PROVEN | NEEDS_MORE_EVIDENCE | 2 | no |
| NO-CONFIDENT-RESULT | NEEDS_OWNER | 2 | no |
Abstaining is allowed and is not a failure: it neither closes the work package nor triggers an
escalation. NOT-PROVEN comes automatically when the runner reports a failure, a claimed test never ran
(absent from the runner output), a done-claim hedges ("should work", "probably", "zou moeten werken",
"waarschijnlijk"), a criterion is unmet, or your break attempt found a counterexample. Packet and
judgement shapes, runner formats and an example: references/claim-verdict.md.
Claims that code "is wired" or "runs at X": see references/reachability.md.
Honesty rule
forge-verify never marks anything done. It only reopens or flags — closing a task or ticket is
always a real agent/human action, verified again by the next forge-verify pass. The dashboard shows
the exact same mismatch (⚠) using the same taskStatus() logic, so the tool and the dashboard never
disagree about what "done" means.
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.

