SKILLEMALL.ai

AC records-retention-schedule-drafter

Use this skill when a RIM lead, IG officer, compliance officer, or legal-ops professional needs to draft an ARMA GARP-aligned records retention schedule. Covers multi-jurisdictional regulatory citations, privacy-law minimization overlays, and format-specific disposition. Produces a DRAFT schedule for governance-committee review — not legal advice.

ClawHub Agent Skills author: devasher v0.1.1 MIT-0 4 files body ≈ 6 618 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 60/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, running it twice

GeneratorSecurityResearchInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
99
Quality 40%
77
Run on models
none yet
Process rating
C
60/100
Has gaps
Inputs and preconditions w 11
0
When it triggers w 12
20
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Risky intent intent-offensive-security SKILL.md:121
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    | **Backup and DR copies** | Backup retention vs production retention; the "delete from production / overwrite in backup" gap; immutable / WORM backup considerations; ransomware-recovery snapshots |

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6618 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 60/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 18 mutating operations with no state check
  • 60Steps. 32 steps, 4 vague phrases
  • 60Result and completion. Output format stated, no completion criterion
  • 70Failures and branches. 5 branches
  • 70Execution cost. Instruction body is 6618 tokens
  • 100Tools and files. No external tools needed
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 15 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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 349: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 32 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This is a text-only drafting aid for records-retention schedules, with clear review limits and no executable behavior.
LLM: benign (high) · VirusTotal: · 28 May 2026