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智能每日新闻简报 Skill。支持两种新闻获取模式：(1) 主动搜索 - 基于用户关注的话题/关键词/人名，通过多 AI API 检索全网信息；(2) RSS 订阅 - 从配置的 RSS/Atom 源自动抓取新闻。 支持智能去重、兴趣管理、AI 摘要、定时推送。 触发关键词: "newsman", "新闻简报", "每日简报", "claw-news", "添加关注", "interest", "rss"

Blockedguard blocked the skill: signs of malicious behaviour
ClawHub Agent Skills author: russellfei v1.0.0 33 files body ≈ 1 267 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationInfrastructuretype 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
36/100
safety, quality, tests
Safety 60%
10
Quality 40%
76
Run on models
none yet
Process rating
C
53/100
Has gaps
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 If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail.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.

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. 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 · 8

  • critical Secrets in code secret-openai-key scripts/generate_digest.py:11
    OpenAI-style API key (quoted — discussed, not commanded)
    api_key='sk-k…m6x',
    quoted
Medium and low: 7
  • medium Exfiltration net-redirectable-api-key rss/kimi_client.py:69
    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
  • medium Secrets in code secret-labelled-token scripts/generate_digest.py:11
    Labelled token / key literal (vendor format unknown — verify it is not a live credential)
    api_key='sk-k…m6x',
  • medium Secrets in code secret-openai-key test_minimax.py:5
    OpenAI-style API key (test fixture / example file; quoted — discussed, not commanded)
    api_key = 'sk-c…aP8'
    fixturequoted
  • low Exfiltration read-dotenv README.md:17
    Reads a .env file
    cp .env.example .env
  • low Secrets in code secret-password-literal scripts/generate_digest.py:11
    Hard-coded password / key literal (may be an example)
    api_key='sk-k…m6x',
  • low Secrets in code secret-labelled-token test_minimax.py:5
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (test fixture / example file)
    api_key = 'sk-c…aP8'
    fixture
  • low Secrets in code secret-password-literal test_minimax.py:5
    Hard-coded password / key literal (may be an example) (test fixture / example file)
    api_key = 'sk-c…aP8'
    fixture

Files scanned: 33. 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 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 17 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1267 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)
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • -32 of 9 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 204: enough signal without eating the budget
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 17 items
  • +4Has examples (11 code blocks)
  • +4Reference files are cited in the instructions (4 of 6)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
This news skill is mostly purpose-aligned, but it needs Review because it embeds live-looking API keys and executes a helper script from another skill workspace.
LLM: suspicious (high) · VirusTotal: · 29 May 2026