SKILLEMALL.ai

AB github-scout

GitHub research without a GitHub token. Trending repositories and developers (daily, weekly, monthly, by language), any repository's details, and any developer's profile, repositories, pull requests, recent activity, contributions and followers. Use this skill for finding trending open source, vetting a developer or candidate, tracking a project, or tech scouting.

ClawHub Agent Skills author: Jay v1.0.0 MIT-0 2 files body ≈ 2 176 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

GitHub research without a GitHub token.

As a process B 67/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureGitHubSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
B
67/100
Nearly there
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 67/100

    • 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
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. No external tools needed
    • 100Steps. 23 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2176 tokens
    • 100Progress reporting. Reports progress
    • low 14 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
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 366: enough signal without eating the budget
    • +4Structure: 23 headings
    • +3Step-by-step instructions: 23 items
    • +4Has examples (5 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This skill is a disclosed read-only GitHub research helper that installs and uses the ClawLink plugin with user pairing and small per-call charges.
    LLM: benign (high) · VirusTotal: · 3 Oct 2026