SKILLEMALL.ai
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CD office-render

Render requested document images or inspect visual layout with LibreOffice Kit.

The skillemall take

Promises to render documents via LibreOffice Kit and inspect visual layout. The archive contains one instruction file (1171 tokens) and nothing else. Safety scores 100, quality 63, process 35. No critical errors, but broken references and missing files present. Never run on models, never tested in sandbox. Platform support looks wide (Claude, Cursor, DeepSeek, eight more) against a process score of 35.

Don't install. This is a draft: instructions exist, actual functionality unverified. Pick something battle-tested instead.

deepseek-ai/deepseek-harness Agent Skills author: deepseek-ai MIT 1 file body ≈ 1 171 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Render requested document images or inspect visual layout with LibreOffice Kit.

As a process D 35/100 · Unfinished process — References files that are not bundled: ../office/references/sidecar.md

GeneratorData and analyticstype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
Run on models
none yet
Process rating
D
35/100
Unfinished process
References files that are not bundled: ../office/references/sidecar.md
Tools and files w 18
0
Steps w 15
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: ../office/references/sidecar.md

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: ../office/references/sidecar.md
  • 0Tools and files. 1 referenced file(s) missing: ../office/references/sidecar.md
  • 0Steps. Prose only: no discrete steps
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 6 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1171 tokens
  • low The response is described with custom markup (4 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)
  • +3Description length 79: 120–800 characters recommended
  • +3No numbered steps or checklist
  • +1No license
  • +2Single-language instructions
  • +4Structure: 3 headings
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.