SKILLEMALL.ai

AB skill_hunter

ALWAYS invoke this skill FIRST, BEFORE writing any code or taking any implementation step, whenever the user asks to "write", "build", "create", "implement", "make", "set up", "scaffold", "generate", "scrape", "parse", "convert", "deploy", "automate", "integrate", or "extract" anything. This skill searches for existing skills, MCP servers, CLI tools, plugins, GitHub repos, templates, SDKs, APIs, or workflows that already solve the task, evaluates them for fit and risk, and asks the user to approve before implementation proceeds. Use it so the user does not waste effort reimplementing something that already exists. Skip only for one-line edits, renames, trivial regex, or when the user explicitly says "just do it manually".

ClawHub Agent Skills author: mturac v1.1.0 MIT-0 2 files body ≈ 987 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process B 70/100 · Nearly there — weak spots: inputs and preconditions, consistency, running it twice

GeneratorGitHubInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
B
70/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
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

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)

    Process rating: all ten parameters 70/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (skill_hunter) differs from the folder (openclaw-skill-hunter)
    • 60Result and completion. Output format stated, no completion criterion
    • 60Failures and branches. 2 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 35 steps
    • 100When it triggers. States when to use and when not to
    • 100Execution cost. Instruction body is 987 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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)
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 12 example trigger phrases
    • +3Description length 731: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 35 items
    • +3Output format is stated explicitly
    • +4Has examples (3 code blocks)

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

    External checks

    ClawHub: suspicious
    This skill appears to be a broad tool-discovery/router helper, but its instructions try to make itself run first for many ordinary tasks and leave routing boundaries too vague.
    LLM: suspicious (medium) · VirusTotal: · 29 May 2026