SKILLEMALL.ai

AC cruit-recruiter

Search Cruit for AI-native developers and reach out to them. Use when the user wants to recruit, source, find developers with specific skills or recency, install recruiter search, set up recruiting, reveal candidate contact info, or message a candidate through Cruit. Requires explicit confirmation before any credit-spending reveal or message.

ClawHub Agent Skills author: nwang783 v1.0.0 MIT-0 11 files body ≈ 3 344 tokens Open the sourceclawhub.ai analyzed 2 d ago

Search Cruit for AI-native developers and reach out to them.

As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ProcedurePeople and hiringtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
C
59/100
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: 0. 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 59/100

    • 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. 6 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 70 steps, 1 vague phrases
    • 100Failures and branches. 12 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3344 tokens
    • 100Progress reporting. Reports progress
    • 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +3Description length 344: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 70 items
    • +4Has examples (22 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: clean
    This is a coherent recruiter-search skill with clear approval gates, though users should understand it stores a local token and fetches current instructions from Cruit.
    LLM: benign (high) · VirusTotal: · 20 Jun 2026