
verify-gate
Runs project compile, test, and lint commands between implementation and quality review. Gates simplify-and-harden behind machine verification. If checks fail, routes back to implementation with diagnostics for a fix loop. If checks pass, signals ready for the quality pass. Use after any implementation work completes and before simplify-and-harden. Essential for the inner loop's verify step.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/pskoett/pskoett-ai-skills --skill verify-gate- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads verify-gate automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Verify Gate
Machine verification gate between implementation and quality review. Runs the project's compile, test, and lint commands. If any fail, enters a fix loop. If all pass, unblocks simplify-and-harden.
This is the inner loop's verify step. Without it, the agent hands off code with zero machine signal about whether it actually works.
When to Use
- After any implementation work completes, before signaling "done"
- Before running simplify-and-harden
- After fixing findings from an independent simplify, harden, spec, or code review
- Any time you want a machine-verified green signal
Pipeline Position
[implementation] → verify-gate → simplify-and-harden → self-improvement
↻ fix loop — on failure, hands diagnostics to self-healing
↳ self-healing (diagnose → patch → verify → file HEAL); verify-gate re-checks
Step 1: Discover Project Commands
Read the project's configuration to find verification commands. Check these sources in order:
- Project instruction files (CLAUDE.md, AGENTS.md, .github/copilot-instructions.md) — look for a
## Verificationor## Test Commandssection - package.json —
scripts.test,scripts.lint,scripts.typecheck,scripts.build. Also check for abun.lock/bun.lockbalongside it → preferbun run <script>overnpm run <script>when present. Check forpnpm-lock.yaml→ preferpnpm run. Check foryarn.lock→ preferyarn. - Makefile / Justfile —
test,lint,check,buildtargets - Cargo.toml —
cargo build,cargo test,cargo clippy - pyproject.toml / setup.cfg —
pytest,mypy,ruff - go.mod —
go build ./...,go test ./...,go vet ./... - deno.json / deno.jsonc —
deno task <name>for any defined tasks
If no commands are discoverable, ask the user once and suggest they add a ## Verification section to their project instruction files (CLAUDE.md, AGENTS.md, or equivalent) for future sessions:
## Verification
- Build: `npm run build`
- Test: `npm test`
- Lint: `npm run lint`
- Type check: `npx tsc --noEmit`
Define acceptance evidence
Before running commands, translate each user acceptance criterion into observable evidence. For host-integrated or user-facing work, record the full identity chain:
- Host/surface — the requested app, browser, desktop host, embedded surface, or target conversation
- Workspace — the repository, branch, environment, or document actually exercised
- Loaded artifact — the bundle, revision, or build the host loaded, not merely the source that built
- Outcome — the requested behavior observed through the real interaction and ordinary user path
Do not substitute intermediate proof for the requested outcome: an iframe src is not a rendered
app, a successful build is not proof that the host loaded it, an expanded-only view does not prove
the ordinary view, an instant synthetic click does not prove a human-duration press, and a queued or
delivered acknowledgement is not a visible turn in the target conversation.
If the environment cannot observe a required outcome, record the exact acceptance gap. The gate
cannot report PASSED for that criterion.
Step 2: Run Verification
Run discovered commands in this order. Stop at the first failure category.
Phase 1: Compile / Type Check
Run the build or type-check command. These catch structural errors before wasting time on tests.
Exit 0 → proceed to Phase 2
Exit non-zero → enter fix loop with compiler output
Phase 2: Tests
Run the test command. Scope to changed files if the test runner supports it.
Exit 0 → proceed to Phase 3
Exit non-zero → enter fix loop with test output
Phase 3: Lint (optional, skippable with --skip-lint)
Run the lint command. Lint failures are lower severity but still worth catching.
Exit 0 → proceed to Phase 4
Exit non-zero → enter fix loop with lint output
Phase 4: Project-specific checks
Run configured custom verification tools after the standard phases. Each custom command must prove its stated invariant rather than merely exit successfully for unrelated input.
Phase 5: Outcome acceptance
Exercise every acceptance check defined in Step 1 through the requested host and ordinary user path. Capture enough evidence to identify the host, workspace, loaded artifact, interaction, and observed result. A proxy or intermediate state fails this phase even when compile, tests, and lint are green.
Step 3: Fix Loop
When a phase fails:
- Read the output. Parse the error output for actionable diagnostics — file paths, line numbers, error messages.
- Scope the fix. Only fix what the verification caught. Do not refactor, improve, or touch unrelated code.
- Apply the fix. Make the minimal change to resolve the failure.
- Re-run the failed phase. Not all phases — just the one that failed.
- If it passes, continue to the next phase.
- If it fails again, increment the attempt counter.
Fix Loop Limits
- Default max attempts: 3 per phase (configurable via
--fix-limit N) - Counter increments on every attempt, even if the error changes. Fixing Error A and uncovering Error B counts as attempt 2, not attempt 1. The counter tracks fix attempts, not unique errors.
- If limit reached: Stop. Report what failed, what was tried, and the remaining error output. Do not guess further — signal to the user that manual intervention is needed.
- Total budget: The fix loop should not exceed 20% of the original implementation effort. If fixes are snowballing, stop and report.
Step 4: Gate Signal
When all phases pass:
## Verify Gate: PASSED
- Build: passed
- Tests: passed (N tests, M suites)
- Lint: passed (or skipped)
- Custom checks: passed (or not applicable)
- Outcome acceptance: passed (or not applicable)
Ready for simplify-and-harden.
When the fix loop is exhausted:
## Verify Gate: BLOCKED
- Build: passed
- Tests: FAILED (attempt 3/3)
- [file:line] error description
- [file:line] error description
- Lint: not reached
- Outcome acceptance: not reached
Fix loop exhausted. Manual intervention needed before quality review.
Integration with Other Skills
skill-pipeline
verify-gate should run at every pipeline depth except Trivial:
| Task size | Pipeline |
|---|---|
| Trivial | None |
| Small | verify-gate → simplify-and-harden |
| Medium | intent-framed-agent + verify-gate → simplify-and-harden |
| Large | Full pipeline with verify-gate before quality pass |
Independent audit agents
After fixes prompted by simplify, harden, spec, or code-review agents, rerun verify-gate. An auditor's report is review evidence, not proof that the modified code still compiles or passes tests.
self-healing
On any failure during the verify run, hand the diagnostics to self-healing (don't just retry the same command). Self-healing runs the diagnose → patch → verify loop, files a HEAL- entry to .learnings/HEALS.md, and returns control. Verify-gate then re-runs the checks. Up to 3 heal attempts per phase before abandoning.
self-improvement
If the heal loop surfaces a recurring pattern (Recurrence-Count >= 3 in HEALS.md), the heal's Handoff block flags it for promotion via self-improvement to CLAUDE.md / AGENTS.md / a new skill. For non-heal learnings (corrections, knowledge gaps, feature requests), log to .learnings/LEARNINGS.md, ERRORS.md, or FEATURE_REQUESTS.md per the self-improvement skill.
What This Skill Does NOT Do
- Does not review code quality (that's simplify-and-harden)
- Does not check security (that's harden-auditor)
- Does not verify spec compliance (that's spec-auditor)
- Does not modify test files or add new tests
- Does not run tests for code it didn't change (unless the test runner doesn't support scoping)
Configuration
If the project has a .verify-gate.yml or a verify-gate section in its project instruction files (CLAUDE.md, AGENTS.md, or equivalent):
verify-gate:
build: npm run build
test: npm test
lint: npm run lint
type_check: npx tsc --noEmit
fix_limit: 3
skip_lint: false
test_scope: changed # changed | all
If no configuration exists, discover commands automatically (Step 1) and suggest persisting them.
Custom Verification Tools (mcp-scripts)
Projects with custom invariants can define inline verification tools using gh-aw's mcp-scripts. These run as additional phases after the standard compile/test/lint checks.
Example — a project that needs API schema validation and legacy import checks:
# In .github/workflows/verify-gate-ci.md or plugin config
mcp-scripts:
verify-api-schema:
lang: shell
description: "Validate API schema matches implementation"
run: |
python scripts/validate_schema.py --strict
check-no-legacy-imports:
lang: shell
description: "Ensure no imports from deprecated legacy/ directory"
run: |
! grep -r "from legacy" src/ --include="*.py"
verify-rate-limits:
lang: javascript
description: "All API routes must have rate limiting middleware"
run: |
const routes = require('./src/routes');
const missing = routes.filter(r => !r.middleware.includes('rateLimit'));
if (missing.length) { console.error('Missing rate limit:', missing); process.exit(1); }
When mcp-scripts are defined, verify-gate runs them as Phase 4 after lint. Each script's exit code determines pass/fail. Failed scripts enter the same fix loop as standard phases. Host and user-observable acceptance remains Phase 5 and cannot be replaced by a custom command that proves only an intermediate state.
This moves project-specific invariants from "knowledge in your head" to "knowledge in the harness" — exactly where the agent can reach it.
FAQ
What does the verify-gate skill do?
Runs project compile, test, and lint commands between implementation and quality review. Gates simplify-and-harden behind machine verification. If checks fail, routes back to implementation with diagnostics for a fix loop. If checks pass, signals ready for the quality pass. Use after any implementation work completes and before simplify-and-harden. Essential for the inner loop's verify step.
How do I install verify-gate?
Run npx skills add https://github.com/pskoett/pskoett-ai-skills --skill verify-gate in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/verify-gate/ (personal) or .claude/skills/verify-gate/ (project).
Which AI agents can use verify-gate?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is verify-gate safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains verify-gate?
It is published by pskoett in pskoett/pskoett-ai-skills. It has 87 recorded installs.
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