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BD webchat-extension

部署「网页划线对话」浏览器扩展（Chrome MV3 / 兼容 Chrome·Edge·千问·夸克 等 Chromium 内核浏览器）。在任意网页选中文字，点工具栏图标唤起可拖动对话浮层，带着网页上下文用 CodeBuddy AI 流式问答。包含本地 Express + SSE 后端（CodeBuddy Agent SDK）与前端扩展。当用户要「做一个网页划词对话插件 / 给浏览器装个网页对话工具 / 选中文字问 AI / 部署小虾网页对话扩展 / web highlight chat extension / 把网页内容丢给 AI 聊」时使用本技能。

ClawHub Agent Skills author: Azrael Noah v0.1.5 MIT-0 19 files body ≈ 1 841 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

部署「网页划线对话」浏览器扩展（Chrome MV3 / 兼容 Chrome·Edge·千问·夸克 等 Chromium 内核浏览器）。在任意网页选中文字，点工具栏图标唤起可拖动对话浮层，带着网页上下文用 CodeBuddy AI 流式问答。包含本地 Express + SSE 后端（CodeBuddy Agent…

As a process D 43/100 · 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
B
87/100
safety, quality, tests
Safety 60%
93
Quality 40%
77
Run on models
none yet
Process rating
D
43/100
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 · 7

✓ No critical or high findings

Medium and low: 7
  • low Secrets in code secret-high-entropy-token assets/backend/package-lock.json:81
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…GLi+2W/6ao+6Y7gu/RCwR…Kng==",
    detector
  • low Secrets in code secret-high-entropy-token assets/backend/package-lock.json:153
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…GLw+xYSd…cqA==",
    detector
  • low Secrets in code secret-high-entropy-token assets/backend/package-lock.json:170
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…F4j+6INO…yXw==",
    detector
  • low Secrets in code secret-high-entropy-token assets/backend/package-lock.json:243
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…W6v+zr+RRp+hqUL…4uQ==",
    detector
  • low Secrets in code secret-high-entropy-token assets/backend/package-lock.json:289
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…Jqj+nOOr…S5A==",
    detector
  • low Exfiltration read-dotenv assets/root/README.md:52
    Reads a .env file
    cp .env.example .env        # 然后按需填写 CODEBUDDY_API_KEY
  • low Exfiltration read-dotenv references/deploy-guide.md:20
    Reads a .env file (documentation table row)
    | 复制配置 | `cp .env.example .env` | 按需填 `CODEBUDDY_API_KEY` |
    table

Files scanned: 19. 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 43/100

  • 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
  • 30Running it twice. 9 mutating operations with no state check
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 100Steps. 36 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1841 tokens
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (8 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)
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 278: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 36 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: suspicious
This is a real browser AI chat skill, but it needs Review because it automatically collects clipboard and webpage context, stores it, and exposes a permissive local backend tied to CodeBuddy credentials.
LLM: suspicious (high) · 7 Aug 2026