SKILLEMALL.ai

AF doc-setup

Organize, summarize, and index technical documentation from any source (GitHub repos, websites, manuals) into a structured second-brain format. Use when the user needs to (1) map and categorize documentation into numbered topical files, (2) create concise summaries with original source links, (3) set up step-by-step installation/configuration guides, or (4) maintain living documentation that gets updated over time. Triggers on requests like "organize this docs", "summarize documentation", "create indexed notes from", or any task involving documentation extraction and structuring.

ClawHub Agent Skills author: Braulio Dias Ribeiro v1.0.0 MIT-0 5 files body ≈ 1 298 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 39/100 · Will not run — References files that are not bundled: URL

GeneratorGitHubWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
F
39/100
Will not run
References files that are not bundled: URL
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: URL

Process rating: all ten parameters 39/100

Will not run. References files that are not bundled: URL
  • 0Tools and files. 1 referenced file(s) missing: URL
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 2 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 26 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1298 tokens

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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 586: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

External checks

ClawHub: clean
This skill organizes documentation into structured Markdown notes and does not show hidden access, persistence, or unsafe behavior.
LLM: benign (high) · VirusTotal: · 28 May 2026