SKILLEMALL.ai

AA skill-autogenesis

Review completed work, summarize reusable procedures, identify recurring workflow patterns, and decide whether to create a skill, patch an existing skill, store a memory note, or do nothing. Built for agents that need structured procedural memory in Hermes, OpenClaw, or similar tool-using environments without confusing abstract rules with reusable procedures.

ClawHub Hermes author: codeblackhole v1.3.2 MIT-0 16 files body ≈ 4 278 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process A 84/100 · Runs to the end — weak spots: progress reporting

ProcedureGitHubInfrastructureAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
A
84/100
Runs to the end
Progress reporting w 2
0
Result and completion w 14
60
Consistency w 8
60
the three weakest of ten parameters · all ten

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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: 16. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 361 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)

Process rating: all ten parameters 84/100

  • 0Progress reporting. Says nothing while it works
  • 60Result and completion. Output format stated, no completion criterion
  • 60Consistency. The Hermes dialect needs category and tags
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 4278 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 187 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 22 branches, has a failure section
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 12 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
  • +4Description does not say when NOT to use the skill (false activations)
  • +4No input/output examples
  • +2Single-language instructions
  • +3Description length 361: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 187 items
  • +3Output format is stated explicitly
  • +4Reference files are cited in the instructions (1 of 3)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

External checks

ClawHub: clean
This is an instruction-only skill for turning repeated workflows into reusable skills, with disclosed persistence behavior and multiple gates against saving the wrong material.
LLM: benign (high) · VirusTotal: · 29 May 2026