luum-home/luum-cognitive-os/component-reality-check
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'Use when you need this Cognitive OS skill: Measure declared-but-unwired
Install
npx vskill@latest install luum-home/luum-cognitive-os/component-reality-checkSKILL.md
Agentic Primitive Reality Check
Run the SO against itself: how many declared agentic primitives (hooks, lib, scripts, skills) actually FIRE at runtime, vs how many are declared but unused?
Not the same as the dogfood-score (composite across 7 dimensions). This skill is the drill-down into dimension 3 (hook wiring) + extends to lib, scripts, and skills directories. Use when you want the raw number, not the composite.
Today (2026-04-24 baseline): 27.7% REAL / 64.5% Dormant+Unwired.
Invocation
What it measures
The classifier scripts/aspirational_audit.py scans every hook, lib module, script, and skill and assigns one of four labels:
| Label | Criterion | |
|---|---|---|
| REAL | Observable runtime use in 7-30d window: JSONL output, caller references, hook firing events, or test invocation | |
| DORMANT | Code exists and parses; no observable use in the window | |
| `ASPIRATIONAL` | References missing dependencies OR explicitly marked FUTURE / TODO | |
| METADATA | Intentional non-behavioural artifact (shim, lib helper, deprecated stub) |
Instructions
When invoked:
- Run:
``bash uv run python3 scripts/aspirational_audit.py --dry-run --json ` (omit --dry-run if user passed --persist`).
- Parse the JSON output and present:
- Header: total agentic primitives, measurement window
- Counts table: each label with count + percentage
- Ratio:
dormant_aspirational_ratio— critical metric (target <0.40 per ADR-XX if defined) - Worst offenders: top N (default 10) with path, type, and reason (e.g., "no JSONL output in 30d", "references missing module X")
- Recent cold-start note: any agentic primitive with mtime < 7d is expected to be DORMANT; flag those separately so they don't skew the verdict
- If `--trend`: read previous record from
.cognitive-os/metrics/aspirational-audit.jsonland report delta (REAL +N, Dormant -N). Flag any newly-DORMANT agentic primitive.
- If `--strict` and ratio > 0.40: exit with non-zero code so CI can gate on it.
- Next steps section (always include): suggest actions per category:
- DORMANT >180 days: candidate for
docs/99-Archive/archive/or promotion with behavioral test. ASPIRATIONAL: either implement the missing dependency OR remove the reference.- Newly added (<7d): give it time; re-check next week.
Example output
Artifacts
.cognitive-os/metrics/aspirational-audit.jsonl— trend record (append-only,--persist).cognitive-os/reports/component-reality-<ts>.md— human-readable snapshot (optional,--report)
Related
scripts/aspirational_audit.py— underlying classifier (SCOPE: os-only)scripts/weekly-aspirational-audit.sh— cron wrapper for automatic weekly runskills/dogfood-score(in progress) — composite metric; this skill is a drill-down- ADR-031 / ADR-041 — continuous classifier design (supersedes one-shot
dead-weight-auditplan) - Engram:
audit/aspirational-real— historical trend
Contextual Trigger
SO-only. Use after adding/removing agentic primitives, or on a weekly cadence via weekly-aspirational-audit.sh. Adopting projects use their own /dod-check or /readiness-check, not this skill.
Security
- Security scanPassed, 90 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/component-reality-check/SKILL.md
Popularity
- 7-day trend score
- 0
Not refreshed yet.
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