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BC check-traceability

Verify the full refinement chain from use cases through behavioral specs, pseudo-code specs, code, and tests — report coverage at each layer and identify gaps

jmagly/aiwg Agent Skills author: jmagly 1 file body ≈ 1 857 tokens Open the sourcegithub.com↗ analyzed 9 h ago

Verify the full refinement chain from use cases through behavioral specs, pseudo-code specs, code, and tests — report coverage at each layer and identify gaps

As a process C 52/100 · Has gaps — References files that are not bundled: ../../../addons/dataset-intelligence/docs/migration-guide.md

AnalyzerSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
C
52/100
Has gaps
References files that are not bundled: ../../../addons/dataset-intelligence/docs/migration-guide.md
Tools and files w 18
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: check-traceability (jmagly/aiwg)

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../../../addons/dataset-intelligence/docs/migration-guide.md
  • note frontmatter-key unknown frontmatter key "namespace"
  • note frontmatter-key unknown frontmatter key "commandHint"

Process rating: all ten parameters 52/100

Will not run. References files that are not bundled: ../../../addons/dataset-intelligence/docs/migration-guide.md
  • 0Tools and files. 1 referenced file(s) missing: ../../../addons/dataset-intelligence/docs/migration-guide.md
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 30 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1857 tokens
  • 100Running it twice. No mutating operations

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +3Description length 158: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 30 items
  • +3Output format is stated explicitly
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.