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DD agy-ppt

以 AGY 為唯一主控，Kiro 負責所有程式工程，Codex 僅透過 built-in $imagegen 產生或編修整頁簡報圖片的圖片式 PPT/PPTX 工作流程。

ClawHub Agent Skills author: Su, Jun-Ming v1.0.0 MIT-0 80 files · 15 scripts body ≈ 5 273 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

以 AGY 為唯一主控，Kiro 負責所有程式工程，Codex 僅透過 built-in $imagegen 產生或編修整頁簡報圖片的圖片式 PPT/PPTX 工作流程。

As a process D 44/100 · Unfinished process — References files that are not bundled: scripts/phase18_codex_worker.py, scripts/kiro_acp_bridge.py, scripts/presentation_workflow.py

IntegrationPowerPointWordSoftware developmentAI 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
D
76/100
safety, quality, tests
Safety 60%
95
Quality 40%
48
Run on models
none yet
Process rating
D
44/100
Unfinished process
References files that are not bundled: scripts/phase18_codex_worker.py, scripts/kiro_acp_bridge.py, scripts/presentation_workflow.py
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Exfiltration net-redirectable-api-key scripts/image_gen.py:95
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment

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 body-long SKILL.md body ≈ 5273 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: scripts/phase18_codex_worker.py
  • warning missing-ref reference to a missing file: scripts/kiro_acp_bridge.py
  • warning missing-ref reference to a missing file: scripts/presentation_workflow.py
  • warning missing-ref reference to a missing file: scripts/prepare_slide_prompts.py
  • warning missing-ref reference to a missing file: scripts/project_state.py
  • warning missing-ref reference to a missing file: scripts/validate_project.py
  • warning missing-ref reference to a missing file: scripts/source_grounding.py
  • warning missing-ref reference to a missing file: scripts/ingest_source.py

Process rating: all ten parameters 44/100

Will not run. References files that are not bundled: scripts/phase18_codex_worker.py, scripts/kiro_acp_bridge.py, scripts/presentation_workflow.py
  • 0Tools and files. 8 referenced file(s) missing: scripts/phase18_codex_worker.py, scripts/kiro_acp_bridge.py, scripts/presentation_workflow.py
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Result and completion. Does not say what the result is
  • 50Failures and branches. 0 branches, has a failure section
  • 70Execution cost. Instruction body is 5273 tokens
  • 100Steps. 149 steps
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. No mutating operations
  • low 15 top-level sections: this looks like several domains in one skill

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 85: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -34 of 8 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 149 items
  • +4Has examples (24 code blocks)
  • +4Reference files are cited in the instructions (15 of 49)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 48.

External checks

ClawHub: suspicious
The skill is mostly a disclosed presentation-generation workflow, but one image-artifact path handling flaw can copy unintended local image files into a project output.
LLM: suspicious (high) · 2 Oct 2026