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BD 模板库 - AI写论文做PPT

让龙虾替你写论文、做PPT、填报告。跟AI说句话，500+模板任选，自动排版一键生成docx/pptx。支持上传自有模板智能填充。毕业论文/开题报告/实验报告/简历/求职/答辩PPT全场景覆盖。¥0.99终身买断，装好即用。

ClawHub Agent Skills author: yueheng-rgb v2.0.1 MIT-0 11 files body ≈ 834 tokens Open the sourceclawhub.ai↗ analyzed 32 h ago

让龙虾替你写论文、做PPT、填报告。跟AI说句话，500+模板任选，自动排版一键生成docx/pptx。支持上传自有模板智能填充。毕业论文/开题报告/实验报告/简历/求职/答辩PPT全场景覆盖。¥0.99终身买断，装好即用。

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedurePowerPointWordData 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
86/100
safety, quality, tests
Safety 60%
99
Quality 40%
66
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
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. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 Secrets in code secret-high-entropy-token scripts/upload_template.py:41
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    boundary = b"----…0gW"
    quoted

Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "tools"

Process rating: all ten parameters 46/100

  • 0Result and completion. Does not say what the result is
  • 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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 5 mutating operations with no state check
  • 40Consistency. Frontmatter name (模板库 - AI写论文做PPT) differs from the folder (template-library-ai)
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 34 steps
  • 100Execution cost. Instruction body is 834 tokens

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 112: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 34 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
The skill is a real document-generation workflow, but it sends user documents and API credentials to a remote service over plain HTTP and gives the agent payment-handling authority.
LLM: suspicious (high) · 6 Jun 2026