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BF CSP课件制作技能

这个技能用于为信息学/CSP竞赛 C++ 课程（小学高年级到初中竞赛班）生成完整的教学资料套件：游戏化趣味课件（.pptx）、详细教案（.docx）、学生任务单（.docx）、代码示例（.cpp）以及网页版互动闯关游戏（.html）。支持单课制作和批量（从PDF教材）批量生成全套课程资料。当用户需要制作 C++/CSP/信奥/NOIP 编程课课件、教案、任务单，或需要从PDF教材批量生成课程资料时应使用此技能。触发词：CSP课件、信奥课件、NOIP课件、C++课件、编程课件、CSP教案、信奥教案、做课件、做教案、做任务单、PPT三件套、批量生成课件、PDF转课件。

ClawHub Agent Skills author: steam2001 v1.0.0 MIT-0 9 files body ≈ 1 413 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 31/100 · Will not run — References files that are not bundled: references/course_schema.md, references/代码示例.cpp

ProcedureWordPowerPointInfrastructuretype 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
84/100
safety, quality, tests
Safety 60%
97
Quality 40%
65
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: references/course_schema.md, references/代码示例.cpp
Tools and files w 18
0
Result and completion w 14
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Secrets in code secret-high-entropy-token assets/package-lock.json:168
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…wQp+7C4n…9JQ==",
    detector
  • low Secrets in code secret-high-entropy-token assets/package-lock.json:189
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…pjs+EVnW…hE7+ZyY8…tdA==",
    detector
  • low Secrets in code secret-high-entropy-token assets/package-lock.json:234
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…w6M+uprW…rLY/w==",
    detector

Files scanned: 9. 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")
  • warning missing-ref reference to a missing file: references/course_schema.md
  • warning missing-ref reference to a missing file: references/代码示例.cpp

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: references/course_schema.md, references/代码示例.cpp
  • 0Tools and files. 2 referenced file(s) missing: references/course_schema.md, references/代码示例.cpp
  • 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
  • 40Consistency. Frontmatter name (CSP课件制作技能) differs from the folder (csp-course)
  • 100Steps. 46 steps
  • 100Execution cost. Instruction body is 1413 tokens
  • 100Running it twice. No mutating operations

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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 285: enough signal without eating the budget
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 46 items
  • +4Has examples (6 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

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

External checks

ClawHub: clean
This skill generates C++ teaching materials and its file, PDF, and dependency behavior mostly matches that purpose, but users should choose a clean output folder and fix the template paths before running it.
LLM: benign (high) · VirusTotal: · 29 May 2026