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CD dashi-ppt

制作 PPT、演示文稿、幻灯片、汇报材料时使用。Dashi PPT 基于预置视觉主题组合页面,生成可离线打开、可在浏览器编辑的 HTML 演示,支持导出 PPTX / PDF 文件。

ClawHub Agent Skills author: haixiandaxia-jpg v1.0.0 MIT-0 80 files · 55 scripts body ≈ 2 913 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

制作 PPT、演示文稿、幻灯片、汇报材料时使用。Dashi PPT 基于预置视觉主题组合页面,生成可离线打开、可在浏览器编辑的 HTML 演示,支持导出 PPTX / PDF 文件。

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

ProcedurePowerPointSoftware developmentData and analyticsAI 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
C
81/100
safety, quality, tests
Safety 60%
87
Quality 40%
71
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 · 13

✓ No critical or high findings

Medium and low: 13
  • low Secrets in code secret-high-entropy-token project/assets/unicorn/tech_background_remix_scene.json:1
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    {"history":[{"breakpoints":[],"visible":true,"aspectRatio":1,"userDownsample":1,"layerType":"effect","type":"gradient","usesPingPong":false,"texture":false,"animating":false,"mouseMomentum":0,"mouseSp
    quoted
  • low Obfuscation obf-base64-blob project/assets/vendor/unicornstudio.umd.js:1
    Long base64-looking blob (detector / deny-list definition; security demo / example)
    !function(e,t){"object"==typeof exports&&"undefined"!=typeof module?t(exports):"function"==typeof define&&define.amd?define(["exports"],t):t((e="undefined"!=typeof globalThis?globalThis:e||self).Unico
    detectordemo
  • low Secrets in code secret-high-entropy-token project/assets/vendor/unicornstudio.umd.js:1
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    !function(e,t){"object"==typeof exports&&"undefined"!=typeof module?t(exports):"function"==typeof define&&define.amd?define(["exports"],t):t((e="undefined"!=typeof globalThis?globalThis:e||self).Unico
    detector
  • low Secrets in code secret-high-entropy-token project/package-lock.json:363
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…g95+dndv…4vA+Wb2w==",
    quoted
  • low Secrets in code secret-high-entropy-token project/package-lock.json:452
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…ZPC+taih…dxR/LKBa…Qnt+ViGvEIQ==",
    quoted
  • low Secrets in code secret-high-entropy-token project/package-lock.json:693
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…pjs+EVnW…hE7+ZyY8…tdA==",
    quoted
  • low Secrets in code secret-high-entropy-token project/package-lock.json:770
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…wQp+7C4n…9JQ==",
    detector
  • low Obfuscation obf-base64-blob project/scripts/stage-media.mjs:19
    Long base64-looking blob (detector / deny-list definition)
    const PLAC…B64 = '/9j/4AAQ…AAD//gAQT…MAD/2wBD…ERT/xABLAAEBAAAAAAAAAAAAAAAA
    detector
  • low Secrets in code secret-high-entropy-token project/src/metadata-serialize.mjs:50
    High-entropy token-like string (may be an id, hash or a credential)
    return norm…rol(
  • low Secrets in code secret-high-entropy-token project/src/metadata-serialize.mjs:51
    High-entropy token-like string (may be an id, hash or a credential)
    norm…rol(
  • low Secrets in code secret-high-entropy-token project/src/metadata-serialize.mjs:52
    High-entropy token-like string (may be an id, hash or a credential)
    norm…rol(norm…rol(control, page), page),
  • low Secrets in code secret-high-entropy-token project/src/metadata-serialize.mjs:58
    High-entropy token-like string (may be an id, hash or a credential)
    function norm…rol(control) {
  • low Secrets in code secret-high-entropy-token project/src/metadata-serialize.mjs:70
    High-entropy token-like string (may be an id, hash or a credential)
    function norm…rol(control, page) {

Files scanned: 79. 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")

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
  • 60Tools and files. Uses tools (bash, python, node) that frontmatter does not declare
  • 100Steps. 87 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2913 tokens
  • 100Running it twice. No mutating operations
  • low 12 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (27 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 91: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 87 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: suspicious
This appears to be a real PPT-generation skill, but it needs Review because its preview/export server runs as a background LAN-reachable service by default and the network behavior is under-scoped in metadata.
LLM: suspicious (high) · 22 Jul 2026