SKILLEMALL.ai

AF write-a-skill

Create a new Claude Code skill — scaffolds a properly-structured `SKILL.md` (with YAML frontmatter, trigger-rich description, workflow, examples, anti-patterns), drops it in the right location (this library's `skills/`, the project's `.claude/skills/`, or the global `~/.claude/skills/`), and — when adding to the `dennisrongo/claude-skills` library — also updates the README table. Use this skill whenever the user says "create a skill", "write a skill", "new skill", "add a skill", "make a skill", "/write-a-skill", or pastes a SKILL.md URL and asks for something similar — even if they don't explicitly say "skill author".

ClawHub Agent Skills author: Dennis Rongo v1.0.1 MIT-0 2 files body ≈ 3 738 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 51/100 · Will not run — References files that are not bundled: scripts/*.{js,sh,py}, references/*.md

GeneratorAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
F
51/100
Will not run
References files that are not bundled: scripts/*.{js,sh,py}, references/*.md
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/*.{js,sh,py}
  • warning missing-ref reference to a missing file: references/*.md

Process rating: all ten parameters 51/100

Will not run. References files that are not bundled: scripts/*.{js,sh,py}, references/*.md
  • 0Tools and files. 2 referenced file(s) missing: scripts/*.{js,sh,py}, references/*.md
  • 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. 13 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 82 steps
  • 100Failures and branches. 11 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3738 tokens
  • 100Progress reporting. Reports progress
  • low 11 top-level sections: this looks like several domains in one skill
  • high The skill tells the model to perform an irreversible action with no human approval
  • low The response is described with custom markup (8 tags): a typed call is more reliable

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
  • -227 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 7 example trigger phrases
  • +3Description length 625: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 82 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: clean
This skill is a disclosed helper for creating new skill files and does not show hidden, destructive, or unrelated behavior.
LLM: benign (high) · VirusTotal: · 16 Aug 2026