SKILLEMALL.ai

AF evidence-organizer

Organize and structure evidence for legal proceedings. Use when the user asks about 证据整理、证据清单、证据链、怎么组织证据、准备证据、证据目录, or wants to organize evidence for a case. This skill provides organizational assistance only and does not constitute legal advice or guarantee admissibility.

ClawHub Agent Skills author: haidong v1.0.0 MIT-0 6 files body ≈ 935 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process F 47/100 · Will not run — References files that are not bundled: references/evidence-types.md

ProcedureData and analyticsWriting and documentsMedia and videotype 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
F
47/100
Will not run
References files that are not bundled: references/evidence-types.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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 missing-ref reference to a missing file: references/evidence-types.md

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: references/evidence-types.md
  • 0Tools and files. 1 referenced file(s) missing: references/evidence-types.md
  • 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. 2 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 56 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 935 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)
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 273: enough signal without eating the budget
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 56 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

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

External checks

ClawHub: clean
This looks like a coherent evidence-organization helper, with no artifact-backed signs of data exfiltration, credential use, persistence, or unsafe automatic actions.
LLM: benign (medium) · VirusTotal: benign · 14 May 2026