acreadiness-policy
acreadiness-policy is an Agent security & guardrails skill for AI agents, published by github in the awesome-copilot repository on GitHub. Skillspace rates acreadiness-policy D (68/100) and it passed the safety scan; a judge model has also reviewed it.
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.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 38,964
Placed #4 of 6 in the judged category final for Agent security & guardrails.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #4 of 6 in the judged category final for Agent security & guardrails.
- Trigger
82 82 - Instructions
88 88 - Specificity
90 90 - Safety
85 85 - Disclosure
78 78 - Maintenance
78 78
Precise schema and CLI reference with a good transparency rule built in: never silently disable a check, prefer an override so the gap still shows in the report.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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