SKILLEMALL.ai

AC yes

Use when any task involves modifying files, configs, databases, or deployments. Use when debugging hits 2+ failures. Use when about to guess or assume without evidence ('probably', 'might be', 'I think', 'should be'). Use when deflecting to user ('please check...', 'you should manually...', 'you may need to...'). Use when fixing something without verifying it works. Use when making a conclusion or root-cause claim. Use when skipping tools that are available (has WebSearch but doesn't search, has Bash but doesn't run, has Read but doesn't read). Use when spinning in circles (same approach 3+ times with parameter tweaks). Use when completing a fix without checking for related issues. Use when asking the user a question that could be self-investigated first. Use when giving suggestions instead of actionable code/commands. Applies to ALL task types: debugging, implementation, config, deployment, API integration, data processing. Do NOT trigger on first-attempt failures or when a known fix is already in progress.

ClawHub Agent Skills author: tkman v1.1.1 MIT-0 2 files body ≈ 2 497 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

IntegrationInfrastructureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
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: 2. 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 54/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 10 mutating operations with no state check
    • 40Consistency. Frontmatter name (yes) differs from the folder (yes-md)
    • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 40 steps, 1 vague phrases
    • 100Failures and branches. 3 branches, has a failure section
    • 100Execution cost. Instruction body is 2497 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 10 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)
    • +3Description length 1023: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 40 items
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: clean
    This is a broad workflow-governance skill that pushes the agent to verify work and avoid guessing, with no executable payload or hidden data behavior found.
    LLM: benign (high) · VirusTotal: · 29 May 2026