asleekgeek/claude-multiagent-catalogue/acreadiness-policy
Claude Code and agent skill by asleekgeek/claude-multiagent-catalogue
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- ext:[{"type":"hook","description":"Pre/post lifecycle hooks"}]
Checking that the SKILL.md file is still in the repository.
Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.
Install
npx vskill@latest install asleekgeek/claude-multiagent-catalogue/acreadiness-policySemi-extensibleMentions customization, but needs skill-specific knowledge. Read the extensible skills standard
SKILL.md
/acreadiness-policy — AgentRC policies
Use this skill when the user asks about policies, strict mode, custom scoring, disabling checks, org standards, or CI gating of readiness.
A policy is a small JSON file with three optional sections — criteria, extras, thresholds — that customise how AgentRC scores readiness.
Built-in examples
AgentRC ships with three example policies in examples/policies/:
| Policy | What it does | |
|---|---|---|
strict.json | 100% pass rate, raises impact on key criteria | |
ai-only.json | Disables all repo-health checks, focuses on AI tooling | |
repo-health-only.json | Disables AI checks, focuses on traditional quality |
Recommend these as starting points before writing a custom policy.
Policy schema
Impact weights
| Impact | Weight | |
|---|---|---|
| critical | 5 | |
| high | 4 | |
| medium | 3 | |
| low | 2 | |
| info | 0 |
Score = 1 − (deductions / max possible weight). Grades: A ≥ 0.9, B ≥ 0.8, C ≥ 0.7, D ≥ 0.6, F < 0.6.
Sub-commands
show
List policies currently in effect (from agentrc.config.json policies array, or none).
new <name>
Scaffold policies/<name>.json with sensible defaults. Walk the user through:
- What to disable — irrelevant pillars or extras for their stack (e.g. disable
observabilityfor a static site). - What to raise — override
impacttohighorcriticalfor must-haves (e.g.readme,codeowners). - Pass-rate threshold — typical org baselines:
0.7(lenient),0.85(standard),1.0(strict). - Reference the policy from
agentrc.config.json:
``json { "policies": ["./policies/<name>.json"] } ``
apply <path-or-pkg>
Run agentrc readiness --json --policy <source> and re-render the report by handing off to the assess skill / ai-readiness-reporter agent. Supports chaining:
CI gating
Combine policies with --fail-level to enforce a minimum maturity level in CI:
Advanced
JSON policies can disable, override, and set thresholds — but cannot add new criteria. For new detection logic, point users at AgentRC's TypeScript plugin system (docs/dev/plugins.md).
Operating rules
- Never silently disable a pillar. If the user wants to disable
observability, confirm and explain the trade-off. - Prefer overriding `impact` over disabling. Disabling hides the gap entirely; overriding lets it still appear in the report.
- Recommend extras stay enabled. They cost nothing — they don't affect the score.
- Suggest layering — most orgs want a baseline policy + per-team overrides chained with
--policy a.json,b.json.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/acreadiness-policy/SKILL.md
Popularity
- Repository stars
- 2
- Repository forks
- 2
- 7-day trend score
- 5
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Extension points
hookPre/post lifecycle hooks
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