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BF agentic-envelope-skill

Generate branded CompleteTech LLC printable

ClawHub Agent Skills author: CompleteTech v1.0.3 MIT-0 19 files body ≈ 893 tokens Open the sourceclawhub.ai↗ analyzed 30 h ago

Generate branded CompleteTech LLC printable

As a process F 40/100 · Will not run — References files that are not bundled: assets/logo.png

GeneratorAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
B
81/100
safety, quality, tests
Safety 60%
98
Quality 40%
55
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: assets/logo.png
Tools and files w 18
0
Result and completion w 14
0
Failures and branches w 10
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Risky intent intent-offensive-security README.md:142
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    This skill needs local filesystem access only for the documented envelope workflow. It reads bundled config files, recipient override INI files, and the configured local logo path, then writes only to
  • low Risky intent intent-offensive-security SKILL.md:43
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - Does not require network access, credential access, persistence, privilege escalation, or destructive file operations.

Files scanned: 19. 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: assets/logo.png

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: assets/logo.png
  • 0Tools and files. 1 referenced file(s) missing: assets/logo.png
  • 0Result and completion. Does not say what the result is
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 28 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 893 tokens
  • low 10 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)
  • +3Description length 43: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -5TODO / placeholder text left in the skill
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • +2Single-language instructions
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 28 items
  • +4Has examples (1 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 55.

External checks

ClawHub: clean
This skill is a local PDF envelope generator whose file access and dependency use match its stated purpose.
LLM: benign (high) · VirusTotal: · 28 May 2026