.build/direct/example/promotion-readiness-checklist/SKILL.md
Assess repository readiness for promotion through governance states (LOCAL, CANDIDATE, PUBLIC_PROCESS, GRADUATED) with structured checklists, quality gates, and evidence requirements. Triggers on promotion assessment, readiness review, or governance state transition requests.
npx skillsauth add organvm-iv-taxis/a-i--skills promotion-readiness-checklistInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Assess whether a repository meets the requirements for promotion to the next governance state.
LOCAL → CANDIDATE → PUBLIC_PROCESS → GRADUATED → ARCHIVED
↓ ↓ ↓ ↓
(no skip) (no skip) (no skip) (terminal)
Hard rule: No state skipping. Each transition requires explicit evidence of meeting all requirements.
Theme: "This exists and has basic hygiene."
## LOCAL → CANDIDATE Evidence
- seed.yaml: ✓ (schema v1.0, organ: IV, tier: standard)
- README: ✓ (142 words)
- .gitignore: ✓ (Python template)
- LICENSE: ✓ (MIT)
- Secret scan: ✓ (clean)
- Date assessed: 2026-03-20
- Assessed by: {name/agent}
Theme: "This is tested, documented, and CI-verified."
| Metric | Minimum | Target | |--------|---------|--------| | Test coverage | 30% | 60% | | CI pass rate (30d) | 80% | 95% | | Open issues | No blockers | All triaged | | Documentation | README + CLAUDE.md | + Architecture doc |
## CANDIDATE → PUBLIC_PROCESS Evidence
- CI: ✓ (GitHub Actions, 14/15 runs passed last 30 days = 93%)
- Tests: ✓ (12 tests, 45% coverage)
- CLAUDE.md: ✓ (includes dev commands, architecture, constraints)
- Linting: ✓ (ruff configured, 0 violations)
- Dependencies: ✓ (pyproject.toml with dev extras)
- Branch protection: ✓ (require PR, require CI)
- Deployment: ✓ (v0.1.0 released 2026-03-15)
Theme: "This is production-quality and externally comprehensible."
except: or swallowed errors)| Metric | Minimum | Target | |--------|---------|--------| | Test coverage | 60% | 80% | | CI pass rate (30d) | 95% | 99% | | Documentation score | 70% | 90% | | Stranger test | Level 2 pass | Level 3 pass | | Security audit | No critical | No high |
## PUBLIC_PROCESS → GRADUATED Evidence
- Stranger test: ✓ (Level 3 pass, 2026-03-18)
- Architecture: ✓ (docs/architecture.md with Mermaid diagrams)
- CONTRIBUTING: ✓ (includes setup, PR process, coding standards)
- Error handling: ✓ (reviewed, no bare excepts)
- Security: ✓ (no critical/high vulnerabilities, last scanned 2026-03-19)
- Performance: ✓ (P99 < 200ms, baseline established)
- Dependencies: ✓ (seed.yaml edges match actual imports)
- Coverage: 72%
- CI pass rate: 97%
Theme: "This is no longer actively maintained."
def assess_promotion(repo_path: str, current_state: str, target_state: str) -> dict:
checks = get_checks_for_transition(current_state, target_state)
results = {}
for check in checks:
results[check.name] = check.evaluate(repo_path)
passed = all(r["passed"] for r in results.values())
return {
"repo": repo_path,
"transition": f"{current_state} → {target_state}",
"passed": passed,
"checks": results,
"assessed_at": datetime.now().isoformat(),
}
## Promotion Request: {repo-name}
**Current state:** {state}
**Target state:** {state}
**Requested by:** {name}
**Date:** {date}
### Evidence
{Paste assessment output}
### Notes
{Any context about why this promotion is requested now}
development
Dry-run audit + targeted cleanup for shell command history. Currently wraps atuin (stats today, prune, dedup with dated preview artifacts); extensible to zsh/bash/mcfly backends. Always previews before applying — apply commands are echoed for the human to run, never auto-executed. Triggers on "/shell-history-hygiene", "audit atuin", "audit shell history", "clean shell history", "atuin prune", "atuin dedup", "shell history hygiene", "history cleanup". Replaces ad-hoc one-liners (e.g. `... | tee cmd > file.txt` which wrote two files, swallowed dedup output, and left a junk `cmd` file).
tools
Guided Cowork setup — install role-matched plugins, connect your tools, try a skill.
development
Manage AI agent session lifecycles with structured phases (FRAME, SHAPE, BUILD, PROVE), context preservation across sessions, handoff protocols, and session metadata tracking. Triggers on session management, agent lifecycle, or multi-session workflow requests.
tools
Parse a session transcript into a structured Session Governance Index — an annotated bibliography of every file modified and commit made, internal-energy accounting (tool uses, estimated tokens), shipped-vs-tasked atom tally, and classification of missing items as Gaps or Vacuums. Triggers on "visibility-schema-substrate-sweep", "session cascade audit", "session governance audit", or any request to summarize what a session actually produced versus what it was asked to produce.