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Intelligence review skills

Skill ainova-systems/intelligence-sync/intelligence/sync/skills/intelligence-review-skills

Single source of truth for AI coding rules across Claude Code, Cursor, Copilot, Codex, and more. Write once, sync everywhere.

Install
npx -y skills add ainova-systems/intelligence-sync --skill intelligence-review-skills

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Audit the intelligence layer for duplication, drift, size, hardcoded paths and framing

SKILL.md

8.4 KB, as published. Nobody here has run it

Review the intelligence layer

Read-only audit of the project's rules, agents and skills, ending in a punch-list. This skill owns the generic audit — everything true of any repository. A project that adds laws of its own layers a thin project audit on top and invokes this one; it never re-implements these checks.

Name reflects the umbrella usage of "skills" for all AI artifacts (rules + agents + skills).

Scope: what to read, and what to leave alone

  1. Resolve the layout — never assume folder names. The umbrella is the directory holding config.yaml; the engine module is the directory under it holding scripts/sync.sh and scripts/VERSION (conventionally sync/). Read authoring conventions from <module>/docs/CONVENTIONS.md and the intelligence-authoring rule.

  2. Enumerate from config.yaml, not from a guessed path. The artifacts are exactly the directories listed under sources.rules, sources.agents and sources.skills — there may be several groups (e.g. a shared one and a project one), they may be nested, and a git+ entry is a remote pack. Take the list from the config; a literal intelligence/rules/ is wrong in any project that named things differently.

  3. Skip everything the engine owns. Sources under <module>/ (<module>/rules, <module>/agents, <module>/skills/intelligence-*) are upstream-owned: update.sh replaces them wholesale, so a local "fix" there is deleted at the next update. Never propose an edit to them. If one of them is genuinely wrong, or a generic check is missing from this skill, that is a proposal to upstream — say so in the report rather than patching locally.

  4. Never read or edit generated output (.claude/, .cursor/, .github/, .codex/, .agents/, .pi/, .opencode/, AGENTS.md). Sync owns those entirely; the finding always belongs to the source.

Steps

  1. Pull git history (when available) for each artifact — last edit, edit count, first-add date. A stale candidate has no recent edits and nothing cross-referencing it.

  2. Run the detection checks. Judgement decides; the checks only make a finding evidence rather than an impression.

    CheckWhat it isProposed action
    Duplicate contentTwo artifacts cover overlapping scope, or their descriptions share trigger phrasesMERGE — present both, propose one
    Misplaced contentA checklist or procedure in an agent body; a convention in an agent; a workflow in a rule; expertise in a skill (the Pick the right artifact table in intelligence-authoring)MOVE — a move, not a rewrite: both files change together
    Over the capSKILL.md over 1000 lines, rule over 500, agent over 200SPLIT — two artifacts, or move detail into references/<topic>.md
    Rule links to a ruleA markdown link from one rule to another (R1)UNLINK — name the rule instead: always-on rules are inlined into AGENTS.md and the scoped channels carry only scoped rules, so the link is dead in at least one output
    Machine facts in a ruleOS, shell, editor or a local absolute path (R2)MOVE — these belong in a personal, gitignored CLAUDE.md; a rule is committed and read by everyone, including whoever is on another platform
    Literal path or command in a skillA path outside the skill's own folder baked into a procedure (R3)PARAMETERIZE — a skill is executed, so a literal path breaks the moment the layout moves; resolve it from a rule or from config.yaml. Exempt: the skill's own bundle (references/, scripts/, assets/ — content is co-located with its skill by default); rules and agents (describing the repository is their job); an example inside an output-format block; the resolution step itself
    Skill with no verificationNothing at the end proves the procedure worked (R4)FLAG — a procedure that proves nothing is a note, or just the work: give it a verification, or delete it
    Reserved prefixA project artifact named intelligence-*RENAME — the prefix belongs to the engine, and the updater prunes what matches it
    NamingA skill that is not <domain>-<verb>-<noun>, or a domain invented rather than reusedRENAME — or introduce the new domain deliberately
    StaleNo edits in 6+ months and nothing cross-references itARCHIVE — move to <umbrella>/_archive/
    Negative-framed judgement call"Never do X" where a positive default fits, outside safety / security / output-formatREWRITE — state the default; reserve NEVER for true must-nots
    Unbacked reasonA rule asserts a why — a number, a measurement, a tool's behaviour — that nothing in the repo or in that tool's documentation supportsFLAG — an invented reason is worse than none: it sounds like evidence. Surface it with a draft; never rewrite the meaning yourself
    Always-on rule that should be scopedA concern that only matters in one area, loaded into every session and inlined into AGENTS.mdSCOPE — add paths:, or justify the cost out loud
    Weak / duplicate descriptionIdentical to a sibling, or too vague to choose between themDIFFERENTIATE — add the distinguishing trigger
    Description over budgetOver ~250 characters (the shared registry budget); over 1024 the tools reject the artifact outrightTRIM — keep the distinguishing trigger, drop the rest
    Missing frontmatter fieldname or description absentPATCH — add it
    Orphan ruleNothing points at it and nothing loads itFLAG — intentional, or dead?

    Detection commands, portable on purpose — no \b and no -P, so the same command works in Git Bash on Windows, on macOS (BSD grep) and on Linux. Run each over the source directories resolved in step 2, never over generated output:

    # R1 — a markdown link from one rule to another
    grep -rnE '\]\([^)]*\.md\)' <rule-dirs>
    
    # R2 — machine facts in a rule (a shell, someone's home directory, a drive letter)
    grep -rinE 'powershell|cmd\.exe|/Users/|/home/|[A-Za-z]:[\\]' <rule-dirs>
    
    # R3 — a path baked into a skill's steps, excluding the skill's own bundle
    grep -rnE --include=SKILL.md '[A-Za-z0-9._-]+/[A-Za-z0-9._/-]+\.[A-Za-z0-9]+' <skill-dirs> \
      | grep -vE '(^|[^A-Za-z0-9._/-])(references|scripts|assets)/'
    
    # R4 — skills whose body never mentions verifying anything (-L lists files with NO match)
    grep -riLE --include=SKILL.md 'verif|expect|assert|check|test|IS_STATUS' <skill-dirs>
    

    R4 is a coarse net, not a verdict: a skill that merely mentions a verification command anywhere passes it. Read the final step of every skill regardless — the question is whether something at the end proves the work landed, not whether the word appears.

  3. Ask subtraction first. Before proposing any SPLIT, REWRITE or PATCH, ask whether the artifact should exist at all, whether two should become one, and whether the rule could be replaced by a gate the model cannot skip. A deletion is a better outcome than a tidy-up, and the punch-list should say so when it is true.

  4. Build the punch-list: finding, target file, proposed action, one-line reasoning, priority (1 = high-impact: duplication, misplaced content, an artifact that should not exist; 3 = low: description tweaks). Read-only — this skill writes nothing.

User approval gate

The user accepts items individually; bulk-accept for low-impact tweaks is fine. Anything that changes meaning (a law, a boundary, a gate, an unbacked reason) is surfaced with a draft and left to the human who owns it — never auto-fixed.

Apply phase

  1. Accepted items go to intelligence-learn-from-context Phase B, which owns the write machinery — do not invent a second apply path. Pass the action, the target file, the drafted change and the reasoning.

  2. Run /intelligence-sync once, after all accepted items are applied, and report one line per artifact: pass / fixed (what) / flagged (for whom).

Related skills

  • intelligence-learn-from-context — single-lesson capture; this skill's apply phase delegates to its Phase B
  • intelligence-extract-skill — when the audit surfaces a workflow that should become a skill

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.