SKILLEMALL.ai
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AC init-project-structure

Use when starting a new project from scratch and the user wants the full plan/build/recap/document workflow scaffolded. Creates slim CLAUDE.md, gitignored CLAUDE.local.md, docs/ tree with plans/recaps, TECHNICAL-DOCUMENTATION.md, FUNCTIONAL-SPECIFICATIONS.md, and housekeeping protocol. Asks 2-env vs 3-env topology. Skip for projects that just need slim memory without contracts — use slim-claude-md instead.

ClawHub Hermes author: adelvillar1 v1.0.0 MIT-0 7 files body ≈ 3 888 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
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: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 409 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)

Process rating: all ten parameters 53/100

  • 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. 27 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (python, node) that frontmatter does not declare
  • 60Consistency. The Hermes dialect needs category and tags
  • 70Failures and branches. 10 branches
  • 100Steps. 70 steps
  • 100Execution cost. Instruction body is 3888 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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
  • +2Single-language instructions
  • +3Description length 409: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 70 items
  • +4Has examples (6 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

External checks

ClawHub: clean
This skill is a disclosed project-structure scaffold that writes documentation and local setup files, with no executable code or hidden data access found.
LLM: benign (high) · VirusTotal: · 29 May 2026