SKILLEMALL.ai

AC multi-agent-filesystem-governance

Govern filesystem organization and file-operation decisions in multi-agent environments. Use when deciding where files should live across agent-private workspaces, shared resources, archives, downloads, scripts, notes, knowledge vaults, and code project folders; when defining directory conventions; when triaging downloads; when preventing cross-agent overwrites; or when standardizing file placement and lifecycle rules for reusable agent setups.

ClawHub Agent Skills author: Darin Lo v1.0.1 MIT-0 5 files body ≈ 1 818 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

Govern filesystem organization and file-operation decisions in multi-agent environments.

As a process C 63/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, running it twice

ReferenceAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
C
63/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    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: 5. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 63/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 7 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 69 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1818 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 13 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 448: enough signal without eating the budget
    • +4Structure: 32 headings
    • +3Step-by-step instructions: 69 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (1 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This skill is a coherent filesystem-organization guide with no code, network behavior, credential handling, or hidden execution.
    LLM: benign (high) · VirusTotal: · 11 Sept 2026