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CF neo_ppt_skills

以 GordenSuperPPTSkill 为主线的端到端 PPT 生产技能：阶段一用 imagegen 逐页生成「图片型 PPT」，阶段二把每页图四层还原为可编辑 PPTX（背景图/骨架图/元素图标/真文本），同时交付图片型 PPT 与可编辑 PPTX。另内置 bank-all（27 套 577 页）与 bank-lite（18 套 339 页）银行营销合辑模板的 GordenPPTSkill 快线换字，以及图片矢量复刻备选管线。当用户要"端到端出一份既好看又能编辑的 PPT"、"按主题/文章出 PPT"、"用 bank 模板换字出稿"、"把图片转成可编辑 PPTX"时使用。

ClawHub Agent Skills author: zsd v0.1.0 MIT-0 50 files · 12 scripts body ≈ 429 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

以 GordenSuperPPTSkill 为主线的端到端 PPT 生产技能：阶段一用 imagegen 逐页生成「图片型 PPT」，阶段二把每页图四层还原为可编辑 PPTX（背景图/骨架图/元素图标/真文本），同时交付图片型 PPT 与可编辑 PPTX。另内置 bank-all（27 套 577 页）与…

As a process F 26/100 · No process to follow — weak spots: steps, result and completion, when it triggers

ReferencePowerPointSoftware developmentInfrastructureAI 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%
91
Quality 40%
66
Run on models
none yet
Process rating
F
26/100
No process to follow
Steps w 15
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.
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 · 9

✓ No critical or high findings

Medium and low: 9
  • low Secrets in code secret-high-entropy-token .mimosa/finding-ledger/v1/events/batch-stop-20261005T124951834Z-3444-6e5833aff446.json:3
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "batchId": "stop…446",
    quoted
  • low Secrets in code secret-high-entropy-token .mimosa/finding-ledger/v1/events/batch-stop-20261005T124951834Z-3444-6e5833aff446.json:4
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "runId": "2026…446",
    quoted
  • low Secrets in code secret-high-entropy-token .mimosa/finding-ledger/v1/events/batch-stop-20261005T125622652Z-268-f9391db2a666.json:3
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "batchId": "stop…666",
    quoted
  • low Secrets in code secret-high-entropy-token .mimosa/finding-ledger/v1/events/batch-stop-20261005T125622652Z-268-f9391db2a666.json:4
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "runId": "2026…666",
    quoted
  • low Secrets in code secret-high-entropy-token .mimosa/history/run-20261005T124951834Z-3444-6e5833aff446.json:3
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "runId": "2026…446",
    quoted
  • low Secrets in code secret-high-entropy-token .mimosa/history/run-20261005T125622652Z-268-f9391db2a666.json:3
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "runId": "2026…666",
    quoted
  • low Secrets in code secret-high-entropy-token .mimosa/reports/task-review-sess_1d2491c7-c041-4748-9453-4e637587e86a-20261005T124951834Z-3444-6e5833aff446.json:3
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "run_id": "2026…446",
    quoted
  • low Secrets in code secret-high-entropy-token .mimosa/reports/task-review-sess_1d2491c7-c041-4748-9453-4e637587e86a-20261005T125622652Z-268-f9391db2a666.json:3
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "run_id": "2026…666",
    quoted
  • low Secrets in code secret-high-entropy-token .mimosa/reports/task-review-sess_1d2491c7-c041-4748-9453-4e637587e86a.json:3
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "run_id": "2026…666",
    quoted

Files scanned: 32. 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")

Process rating: all ten parameters 26/100

  • 0Steps. Prose only: no discrete steps
  • 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 (neo_ppt_skills) differs from the folder (neo-ppt-skills)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Execution cost. Instruction body is 429 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • -34 of 5 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 292: enough signal without eating the budget
  • +4Structure: 5 headings
  • +4Has examples (3 code blocks)

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

External checks

ClawHub: suspicious
This appears to be a real PPT-generation toolkit, but it includes hidden source snapshots and broad default workflows that should be reviewed before installation.
LLM: suspicious (medium) · VirusTotal: · 7 Oct 2026