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BC sovereign-test-generator

Analyzes codebases and generates comprehensive test suites. Unit tests, integration tests, edge cases, mocking strategies. Supports JavaScript/TypeScript (Jest, Vitest), Python (pytest), Go, and Rust.

ClawHub Agent Skills author: ryudi84 v1.0.0 4 files body ≈ 10 790 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 64/100 · Has gaps — weak spots: when it triggers, execution cost, running it twice

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
95
Quality 40%
64
Run on models
none yet
Process rating
C
64/100
Has gaps
Progress reporting w 2
0
When it triggers w 12
20
Running it twice w 4
30
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.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-password-literal SKILL.md:271
    Hard-coded password / key literal (may be an example)
    password: 'secureP@ss123',
  • low Secrets in code secret-password-literal SKILL.md:440
    Hard-coded password / key literal (may be an example)
    password="secureP@ss123",
  • low Secrets in code secret-password-literal SKILL.md:455
    Hard-coded password / key literal (may be an example)
    password="secureP@ss123",
  • low Secrets in code secret-password-literal SKILL.md:467
    Hard-coded password / key literal (may be an example)
    password="secureP@ss123",
  • low Secrets in code secret-password-literal SKILL.md:494
    Hard-coded password / key literal (may be an example)
    password="secureP@ss123",

Files scanned: 4. 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")
  • warning body-long SKILL.md body ≈ 10790 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 64/100

  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 13 mutating operations with no state check
  • 40Execution cost. Instruction body is 10790 tokens: crowds the task out of the window
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 94 steps, 1 vague phrases
  • 100Failures and branches. 5 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 12 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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 200: enough signal without eating the budget
  • +4Structure: 36 headings
  • +3Step-by-step instructions: 94 items
  • +3Output format is stated explicitly
  • +4Has examples (15 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: clean
This is an instruction-only testing skill that coherently helps an agent analyze code and generate test suites, with no evidence of hidden execution or data exfiltration.
LLM: benign (high) · VirusTotal: benign · 28 May 2026