Arifos Recursive Audit

arifos-recursive-audit (O_Ω Constitutional Layer)

Purpose

Audit all installed skills for overlap, stale docs, prompt bloat, trigger ambiguity, and broken references.

Use When

1. Reviewing the overall capabilities, naming conventions, and performance of the active skill portfolio.
2. A new skill is drafted or proposed for installation into any workspace or global directory.
3. An existing skill's SKILL.md is updated or modified.
4. Executing portfolio maintenance checks to clean up outdated APIs, dead links, or legacy documentation.
5. Tuning the triggering accuracy of skills when experiencing trigger drift.

Do Not Use When

1. Creating a single new skill from scratch (use skill-creator for capture and bootstrapping instead).
2. Linting individual skill trigger statements (use skill-trigger-linter instead).
3. The task is a general system performance audit unrelated to L2 Skills.

Inputs

• Skill Directories: Path to /root/.agents/skills/ or individual skill directories.
• Dependency Files: package.json, pyproject.toml, wrangler.jsonc configurations.
• Audit Manifest: List of currently configured tools and their execution limits.

Operational Age Thresholds

• Freshness Threshold: Any skill whose SKILL.md has not been modified for >30 days MUST be cross-checked against its dependent packages/APIs to verify compatibility.
• De-activation Candidate: Any skill that has not been active in the last 90 days must be classified as unused-rot and flagged for graceful de-activation or archive.

Rot Classification Schema

Each checked skill must receive a specific Rot Rating in the audit report:

• doc-rot: The skill references external URLs, guidelines, or paths that are no longer accessible or have been superseded.
• api-rot: The SDK or CLI packages that the skill coordinates (e.g. Wrangler, Agents SDK) have moved past the compatibility versions listed in the skill.
• trigger-rot: The skill's triggering criteria overlap semantically with other skills, leading to multiple activations or trigger failures.
• unused-rot: The skill is structurally valid but has not registered a telemetry execution record within the threshold window.

Procedure

1. Portfolio Scan: Map all active SKILL.md files and resolve their frontmatter definitions.
2. Staleness Analysis: Apply Age Threshold rules. Check all embedded documentation URLs and reference scripts against the latest system files and packages.
3. Prompt Bloat Check: Calculate the token density of each skill. Flag files where instruction length exceeds 500 lines.
4. Collision Auditing: Run semantic cross-checks on skill descriptions to flag potential trigger overlaps.
5. Rot Classification tagging: Assign rot ratings (doc-rot, api-rot, trigger-rot, unused-rot) to flagged skills.
6. Report Generation: Write a structured markdown analysis identifying critical flaws, warnings, and remediation paths.

Postconditions

1. All skills are checked for age thresholds and direct system dependency freshness.
2. A complete rot matrix mapping overlap risk and prompt size is successfully outputted.
3. Any identified broken file reference is cataloged in the telemetry report.

Failure Modes & Escalation

• Infinite Loop Detect: Circular references between skills (e.g. Skill A loads Skill B, which loads Skill A). Action: Immediately break recursion, output a warning block, and log the path loop.
• Workspace Access Error: Missing permissions on global or shared folders. Action: Degrade gracefully and audit only local workspace skills, raising a warning flag in the report.

Telemetry per Run

{
  "skill_name": "arifos-recursive-audit",
  "version": "1.1.0",
  "trigger_phrase": "{{trigger_phrase}}",
  "selected_reason": "{{selected_reason}}",
  "latency_ms": 0,
  "token_in": 0,
  "token_out": 0,
  "commands_run": 0,
  "artifacts_written": 0,
  "postcondition_pass": false,
  "human_approval_required": false,
  "hold_code": "{{hold_code}}"
}

Recursive Scorecard

• Activation Precision: [0.0 - 1.0] (Target: >0.90)
• Task Completion Rate: [0.0 - 1.0] (Target: >0.95)
• Rollback Safety: [0.0 - 1.0] (Target: 1.00)
• Context Efficiency: [0.0 - 1.0] (Target: >0.95)
• Doc Freshness: [0.0 - 1.0] (Target: 1.00)
• Cross-Skill Collision Rate: [0.0 - 1.0] (Target: 0.00)
• Human Trust Score: [0.0 - 1.0] (Target: >0.95)