SKILLEMALL.ai

AC slim-claude-md

Use when a project's project memory file is over ~300 lines, when starting a new project from scratch, or when the user mentions context bloat, lost env URLs, sessions pointing at the wrong environment, the memory file becoming a journal, or wanting to organize project context. Restructures or initializes a slim router-style memory file, a gitignored local env reference file, a topical docs/ tree, and a housekeeping protocol that keeps the structure from rebloating.

ClawHub Hermes author: adelvillar1 v1.0.3 MIT-0 6 files body ≈ 2 547 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 61/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

ReferenceAI and agentsInfrastructurePersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
C
61/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Consistency w 8
0
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: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 470 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)

Process rating: all ten parameters 61/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Consistency. Frontmatter name (slim-claude-md) differs from the folder (slim-project-memory)
  • 60Failures and branches. 2 branches
  • 85Steps. 74 steps, 1 vague phrases
  • 100Tools and files. No external tools needed
  • 100When it triggers. States when to use and when not to
  • 100Execution cost. Instruction body is 2547 tokens
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • low The response is described with custom markup (3 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
  • +2Single-language instructions
  • +3Description length 470: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 74 items
  • +4Has examples (6 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +1License stated

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

External checks

ClawHub: clean
This skill reorganizes project memory and documentation, and its sensitive handling is disclosed and mostly constrained to env-var references rather than real secrets.
LLM: benign (high) · VirusTotal: · 29 May 2026