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BF template-sds-generator

Generate a deterministic, template-preserving 16-section SDS/MSDS package from 1 DOCX template, 1 prompt/rule file, and 1-3 source SDS/MSDS files, with DOCX/PDF output plus structured JSON, provenance CSV, and review checklist artifacts.

ClawHub Agent Skills author: YJLi-new v0.2.1 MIT-0 80 files body ≈ 737 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 57/100 · Will not run — References files that are not bundled: assets/templates/sds_base.docx

GeneratorWordAI and agentsData and analyticstype 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
77/100
safety, quality, tests
Safety 60%
85
Quality 40%
65
Run on models
none yet
Process rating
F
57/100
Will not run
References files that are not bundled: assets/templates/sds_base.docx
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
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 · 15

✓ No critical or high findings

Medium and low: 15
  • low Secrets in code secret-high-entropy-token src/sds_generator/models/__init__.py:33
    High-entropy token-like string (may be an id, hash or a credential)
    Sect…ity,
  • low Secrets in code secret-high-entropy-token src/sds_generator/models/__init__.py:34
    High-entropy token-like string (may be an id, hash or a credential)
    Sect…ion,
  • low Secrets in code secret-high-entropy-token src/sds_generator/models/__init__.py:35
    High-entropy token-like string (may be an id, hash or a credential)
    Sect…ion,
  • low Secrets in code secret-high-entropy-token src/sds_generator/models/__init__.py:36
    High-entropy token-like string (may be an id, hash or a credential)
    Sect…ons,
  • low Secrets in code secret-high-entropy-token src/sds_generator/models/__init__.py:37
    High-entropy token-like string (may be an id, hash or a credential)
    Sect…ion,
  • low Secrets in code secret-high-entropy-token src/sds_generator/models/final_sds.py:10
    High-entropy token-like string (may be an id, hash or a credential)
    Sect…ity,
  • low Secrets in code secret-high-entropy-token src/sds_generator/models/final_sds.py:11
    High-entropy token-like string (may be an id, hash or a credential)
    Sect…ion,
  • low Secrets in code secret-high-entropy-token src/sds_generator/models/final_sds.py:12
    High-entropy token-like string (may be an id, hash or a credential)
    Sect…ion,
  • low Secrets in code secret-high-entropy-token src/sds_generator/models/final_sds.py:13
    High-entropy token-like string (may be an id, hash or a credential)
    Sect…ons,
  • low Secrets in code secret-high-entropy-token src/sds_generator/models/final_sds.py:14
    High-entropy token-like string (may be an id, hash or a credential)
    Sect…ion,
  • low Secrets in code secret-high-entropy-token src/sds_generator/models/sections.py:58
    High-entropy token-like string (may be an id, hash or a credential)
    class Sect…ion(SDSBaseModel):
  • low Secrets in code secret-high-entropy-token src/sds_generator/models/sections.py:140
    High-entropy token-like string (may be an id, hash or a credential)
    class Sect…ies(SDSBaseModel):
  • low Secrets in code secret-high-entropy-token src/sds_generator/models/sections.py:169
    High-entropy token-like string (may be an id, hash or a credential)
    class Sect…ity(SDSBaseModel):
  • low Secrets in code secret-high-entropy-token src/sds_generator/models/sections.py:178
    High-entropy token-like string (may be an id, hash or a credential)
    class Sect…ion(SDSBaseModel):
  • low Secrets in code secret-high-entropy-token src/sds_generator/models/sections.py:197
    High-entropy token-like string (may be an id, hash or a credential)
    class Sect…ion(SDSBaseModel):

Files scanned: 80. 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/templates/sds_base.docx
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 57/100

Will not run. References files that are not bundled: assets/templates/sds_base.docx
  • 0Tools and files. 1 referenced file(s) missing: assets/templates/sds_base.docx
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 3 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. 23 steps
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 737 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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)
  • -34 of 6 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 237: enough signal without eating the budget
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 23 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: suspicious
This SDS generator appears purpose-built, but it needs Review because OCR can retain extracted document text in an under-disclosed local cache.
LLM: suspicious (high) · VirusTotal: · 29 May 2026