SKILLEMALL.ai

AA evidence-gate

Generates evidence obligations for a claim or action, evaluates existing evidence against them, and returns a structured verdict (PASS / SOFT_PASS / BLOCK / CONFLICT) with safe downgrade guidance. TRIGGER when the agent is about to present a root-cause diagnosis, claim 'the cause is X', say 'this is safe', recommend a destructive or irreversible action, recommend a rollback, make a safety assertion, or state a strong conclusion based on limited evidence. DO NOT TRIGGER when summarizing, formatting, brainstorming possibilities, performing low-risk reversible operations, or when the caller already has its own evidence-validation step.

ClawHub Agent Skills author: Shanicky Chen v0.0.2 MIT-0 7 files body ≈ 2 690 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process A 94/100 · Runs to the end — no weak spots found

AnalyzerInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
A
94/100
Runs to the end
Result and completion w 14
60
Tools and files w 18
100
Steps w 15
100
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 · 0

    ✓ No critical or high findings

    Files scanned: 7. 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 94/100

    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 134 steps
    • 100When it triggers. States when to use and when not to
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Failures and branches. 5 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2690 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • low 17 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

    • +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 640: enough signal without eating the budget
    • +4Structure: 25 headings
    • +3Step-by-step instructions: 134 items
    • +3Output format is stated explicitly
    • +4Has examples (0 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This is an instruction-only helper that asks an agent to check evidence before making strong claims or risky recommendations.
    LLM: benign (high) · VirusTotal: · 29 May 2026