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FD agnes-image-gen

使用 Agnes AI 升级版图像生成模型 agnes-image-2.1-flash 生成图片。同时支持文生图（text-to-image）与图生图（image-to-image）。当用户说「用 Agnes 生成图片」「用 Agnes 画一张」「Agnes 生成」「用这张图生成/改成……」或明确要求使用 Agnes API 进行文生图/图生图时，加载本 skill。不消耗 WorkBuddy 积分，仅消耗 Agnes API 额度（当前图像生成免费）。

Blockedguard blocked the skill: signs of malicious behaviour
ClawHub Agent Skills author: jiuwu2495 v1.0.3 MIT-0 3 files body ≈ 2 511 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

使用 Agnes AI 升级版图像生成模型 agnes-image-2.1-flash 生成图片。同时支持文生图（text-to-image）与图生图（image-to-image）。当用户说「用 Agnes 生成图片」「用 Agnes 画一张」「Agnes 生成」「用这张图生成/改成……」或明确要求使用…

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

IntegrationSoftware 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
F
27/100
safety, quality, tests
Safety 60%
0
Quality 40%
68
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
Guard blocked this skill: critical findings below. Do not install it until the author fixes them.

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Secrets in code
If you install

The files contain someone else's key or token. If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail. Such a key often arrives with the author's whole workspace, personal data included.

For the author

The key is visible to everyone who downloaded the skill and has likely been copied by catalog-scanning bots already. Revoke it now, check bills and access logs, then reissue.

How to improve

  1. Remove the critical guard findings (secrets, dangerous commands, hidden instructions): while they stand the skill is blocked and cannot grade above F.
  2. 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 · 6

  • critical Secrets in code secret-openai-key scripts/agnes_gen.py:39
    OpenAI-style API key (quoted — discussed, not commanded)
    DEFAULT_API_KEY = "sk-8…9Cz"
    quoted
  • critical Secrets in code secret-openai-key SKILL.md:97
    OpenAI-style API key (quoted — discussed, not commanded)
    -H "Authorization: Bearer sk-8…9Cz" \
    quoted
  • critical Secrets in code secret-openai-key SKILL.md:119
    OpenAI-style API key (quoted — discussed, not commanded)
    -H "Authorization: Bearer sk-8…9Cz" \
    quoted
  • critical Secrets in code secret-openai-key SKILL.md:208
    OpenAI-style API key (quoted — discussed, not commanded)
    -H "Authorization: Bearer sk-8…9Cz" \
    quoted
  • critical Secrets in code secret-openai-key SKILL.md:223
    OpenAI-style API key (quoted — discussed, not commanded)
    -H "Authorization: Bearer sk-8…9Cz" \
    quoted
  • critical Secrets in code secret-openai-key SKILL.md:241
    OpenAI-style API key (quoted — discussed, not commanded)
    -H "Authorization: Bearer sk-8…9Cz" \
    quoted

Files scanned: 3. 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")
  • note frontmatter-key unknown frontmatter key "agent_created"

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, web) that frontmatter does not declare
  • 100Steps. 53 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2511 tokens
  • 100Running it twice. No mutating operations
  • low 10 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)
  • +3Output format is not stated: the model decides each time
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 229: enough signal without eating the budget
  • +4Structure: 31 headings
  • +3Step-by-step instructions: 53 items
  • +4Has examples (18 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
The skill matches its image-generation purpose, but it bundles and automatically uses a hardcoded Agnes API key while sending prompts and optional images to external Agnes endpoints.
LLM: suspicious (high) · 30 Jul 2026