SKILLEMALL.ai

BB leclaw

LeClaw is a hierarchical agent collaboration framework for OpenClaw that provides task management and collaboration capabilities. Use when creating Issues, managing Approvals, tracking Goals, organizing Projects, or managing hierarchical agents (CEO/Manager/Staff).

ClawHub Agent Skills author: Char Siu v1.1.2 MIT-0 4 files body ≈ 10 666 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 71/100 · Nearly there — weak spots: result and completion, execution cost, running it twice

GeneratorAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
65
Run on models
none yet
Process rating
B
71/100
Nearly there
Running it twice w 4
30
Result and completion w 14
40
Execution cost w 6
40
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 10666 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 71/100

  • 30Running it twice. 58 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 40Execution cost. Instruction body is 10666 tokens: crowds the task out of the window
  • 50When it triggers. No condition that starts the skill
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Failures and branches. 4 branches
  • 85Steps. 114 steps, 2 vague phrases
  • 100Tools and files. No external tools needed
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (29 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

  • +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
  • -5TODO / placeholder text left in the skill
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +3Description length 265: enough signal without eating the budget
  • +4Structure: 84 headings
  • +3Step-by-step instructions: 114 items
  • +4Has examples (37 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: suspicious
This instruction-only skill is mostly coherent, but it tells agents to store API keys in markdown files, share private reasoning logs, and enable autonomous heartbeat-driven work.
LLM: suspicious (high) · VirusTotal: · 29 May 2026