SKILLEMALL.ai

BD skill-kit

Claude Code skill management. Topics — writer (create), lint (validate + fix frontmatter), merge (combine related), dedup (find duplicates), convert (agent → skill), architecture (multi-topic structure), upgrade (enhance + add topics), route (topic placement), trigger (declare + auto-register hooks), find (discover via npx skills CLI), graph (extract depends-on + topic body Skill calls into Edge Table + Mermaid + dispatched d3 force-directed render), language (per-skill language consistency enforcement), portability (public skill cross-ref + vendor isolation), publish-scope (published skill scope review before extending), invoke-discipline (slash command → Skill tool call, multi-topic Read, post-decision auto-invoke, interactive script, vendor dispatch). Use when: "skill writer", "skill lint", "skill merge", "skill dedup", "create skill", "frontmatter fix", "multi-topic skill", "convert agent", "skill upgrade", "add topic", "topic route", "trigger compile", "hook auto register", "find skill", "discover skill", "npx skills", "skills.sh", "install skill", "skill graph", "skill dependency graph", "depends-on extract", "mermaid skill graph", "force-directed skill graph", "skill language", "description language", "portability", "publish scope", "slash command tool call", "Skill tool missing", "multi-topic read", "invoke discipline", "post-decision skill invoke", "interactive script".

ClawHub Agent Skills author: es6kr v0.8.0 MIT-0 26 files · 3 scripts body ≈ 1 065 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
99
Quality 40%
58
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Shorten the description to 1024 characters.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Dangerous commands cmd-pipe-to-shell-known-host lint.md:261
    Pipe-to-shell installer from a well-known host (still executes remote code) (documentation table row)
    | Linux | `curl -LsSf https://astral.sh/uv/install.sh \| sh` |
    table

Files scanned: 26. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1402 chars, limit 1024
  • note frontmatter-key unknown frontmatter key "depends-on"

Process rating: all ten parameters 49/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 5 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 11 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1065 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)
  • +3Description length 1401: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -32 of 2 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +5Description quotes 33 example trigger phrases
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 11 items
  • +4Has examples (4 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.

External checks

ClawHub: suspicious
This is a broad skill-management toolkit, but it ships and can register persistent hook behavior that is wider and more environment-specific than a typical user would expect.
LLM: suspicious (high) · 30 Aug 2026