SKILLEMALL.ai

BD argus

Incremental backend API + frontend browser testing with persistent memory. Monitors every commit, enriches insufficient messages, and runs targeted tests scoped to changed files. Full-catalog runs on demand. Use when: "argus", "run tests", "test my backend", "check this commit".

ClawHub Agent Skills author: tiansyao v1.0.0 MIT-0 3 files body ≈ 4 014 tokens Open the sourceclawhub.ai↗ analyzed 12 d ago

Incremental backend API + frontend browser testing with persistent memory.

As a process D 48/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

IntegrationPlaywrightSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
95
Quality 40%
87
Run on models
none yet
Process rating
D
48/100
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • medium Broad scope meta-broad-allowed-tools SKILL.md:1
      Broad tool permissions pre-approved: Bash
      allowed-tools: Bash Read Write Edit Glob Grep AskUserQuestion

    Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note edit-residue the text marks something as outdated (lines 59, 62, 72, 604): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 48/100

    • 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
    • 40Consistency. Frontmatter name (argus) differs from the folder (argus-qa)
    • 50When it triggers. No condition that starts the skill
    • 70Execution cost. Instruction body is 4014 tokens
    • 85Steps. 54 steps, 3 vague phrases
    • 100Tools and files. Tools declared in frontmatter
    • 100Running it twice. Mutating operations check current state
    • 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

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -2localhost URLs: will not work for another user
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +3Description length 279: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 54 items
    • +4Has examples (31 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: suspicious
    Argus is a coherent testing helper, but it installs persistent Git automation and can rewrite commit history and install dependencies without strong user control.
    LLM: suspicious (high) · VirusTotal: · 16 Sept 2026