sirius-cc-wu/measure-artifacts
skills/measure-artifacts/SKILL.md
Computes durable implementation metrics for completed features and subfeatures, and can persist a reusable sidecar for later reporting.
$ install --global
skillsauthnpx skillsauth add sirius-cc-wu/sirius-skills measure-artifactsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 22, 2026, 12:45 PM124.3s5 files scanned
SKILL.md
- name:
- measure-artifacts
- description:
- Computes durable implementation metrics for completed features and subfeatures, and can persist a reusable sidecar for later reporting.
Measure Artifacts
Use this skill when a maintainer wants reusable implementation metrics for a completed feature or subfeature.
Responsibilities
- Resolve one completed feature or subfeature packet.
- Compute story-size, slice-count, execution-mode, and churn-availability metrics from durable repository artifacts.
- Render those metrics as text or JSON.
- Persist
implementation-metrics.jsononly when the caller explicitly asks for write mode.
Preferred Input
- a feature slug, subfeature slug, or planning packet path
- optional
--scope <path>when nested planning scopes are ambiguous
Tooling
python3 skills/measure-artifacts/scripts/measure_artifacts.py <target>
python3 skills/measure-artifacts/scripts/measure_artifacts.py <target> --json
python3 skills/measure-artifacts/scripts/measure_artifacts.py <target> --write
python3 skills/measure-artifacts/scripts/measure_artifacts.py <target> --scope apps/payments
Output
- default: human-readable metrics summary
--json: machine-readable metrics payload plus sidecar path--write: persistimplementation-metrics.jsonbeside the target packet
Guardrails
- Target artifacts must already be completed (
implementedfeature planning or finalized subfeature metadata). - Do not mutate planning or execution owner metadata; only the dedicated metrics sidecar may be written.
- Keep unsupported story sizes and missing provenance explicit instead of silently guessing values.
- Treat archive-facing metric display as separate follow-on work.
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