SKILLEMALL.ai

BD code-review

多视角代码审�?- 安全(OWASP)/性能/正确�?风格,每视角输出严重级别+修复建议,支持PASS/BLOCK裁定

ClawHub Agent Skills author: 534422530 v2.0.0 MIT-0 3 files body ≈ 1 314 tokens Open the sourceclawhub.ai analyzed 2 d ago

多视角代码审�?- 安全(OWASP)/性能/正确�?风格,每视角输出严重级别+修复建议,支持PASS/BLOCK裁定

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerSecurityQuality controlSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
D
41/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "badge"
  • note frontmatter-key unknown frontmatter key "source"

Process rating: all ten parameters 41/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 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
  • 40Consistency. Frontmatter name (code-review) differs from the folder (laosi-code-review)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 5 steps
  • 100Execution cost. Instruction body is 1314 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)
  • +3Description length 59: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 5 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This is a text-only reference/beacon skill with no executable behavior, but it asks for public agent-to-agent responses that should require user approval.
LLM: benign (high) · VirusTotal: · 30 May 2026