SKILLEMALL.ai

BC code-review

Use when asked to review a PR, MR, branch, or diff, audit changed files, or check code quality.

evanca/flutter-ai-rules Agent Skills author: evanca 4 files · 1 script body ≈ 2 321 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Perform structured, objective code reviews for Flutter/Dart projects following a repeatable checklist.

As a process C 60/100 · Has gaps — weak spots: when it triggers, inputs and preconditions

AnalyzerGitHubGitLabSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
94/100
safety, quality, tests
Safety 60%
96
Quality 40%
92
Run on models
none yet
Process rating
C
60/100
Has gaps
Inputs and preconditions w 11
0
When it triggers w 12
20
Tools and files w 18
60
the three weakest of ten parameters · all ten

How to improve

    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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • low Exfiltration net-credential-use references/github-posting.md:109
      Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
      curl -s -H "Authorization: Bearer $GITHUB_TOKEN" \
      security skill
    • low Exfiltration net-credential-use references/gitlab-posting.md:91
      Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
      curl -s -H "PRIVATE-TOKEN: $GITLAB_TOKEN" \
      security skill
    • low Exfiltration net-credential-use references/gitlab-posting.md:113
      Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
      curl -s -X POST -H "PRIVATE-TOKEN: $GITLAB_TOKEN" \
      security skill

    A further 1 matches are quotations in this security skill's documentation and are not counted as findings.

    Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 60/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 20When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 60Failures and branches. 2 branches
    • 85Steps. 36 steps, 1 vague phrases
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2321 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress

    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)
    • +3Description length 95: 120–800 characters recommended
    • +2Single-language instructions
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 36 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +3All 1 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.