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CF web-insight

互联网内容洞察技能。面向全域网络信息监测与情报分析场景，提供多条件组合精准检索能力，可覆盖全网新闻、社交、资讯等多渠道公开内容。支持关键词、情感、时间、平台等多条件组合查询，依托 NLP 智能解析，实现内容去重、关键信息抽取与数据结构化输出，一键供 AI Agent 调用。适用于品牌管理、市场分析、竞品追踪、风险感知等场景。触发词：搜索、检索、查找、查询、舆情、信息、内容检索、监测、情报分析。前置条件：必须在技能项目根目录配置环境变量 FEEDAX_SEARCH_API_KEY（在 https://www.feedax.cn 申请，勿使用仓库内示例或他人 Key）。

Not recommendedcritical or high security findings
ClawHub Agent Skills author: longGGGGGG v1.0.4 MIT-0 11 files body ≈ 2 607 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 33/100 · Will not run — References files that are not bundled: assets/area_codes.json

ProcedureInfrastructureAI 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
72/100
safety, quality, tests
Safety 60%
80
Quality 40%
61
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: assets/area_codes.json
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

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 If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail.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. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  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 · 3

  • high Secrets in code meta-credential-files .env
    Credential / dotenv files bundled with the skill (1)
    .env
Medium and low: 2
  • low Exfiltration read-dotenv skill.md:21
    Reads a .env file
    cat .env | grep FEEDAX_SEARCH_API_KEY
  • low Exfiltration read-dotenv skill.md:291
    Reads a .env file
    cat .env | grep FEEDAX_SEARCH_API_KEY

Files scanned: 10. 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 missing-ref reference to a missing file: assets/area_codes.json
  • note frontmatter-key unknown frontmatter key "requires_env"
  • note frontmatter-key unknown frontmatter key "install"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: assets/area_codes.json
  • 0Tools and files. 1 referenced file(s) missing: assets/area_codes.json
  • 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. 6 mutating operations with no state check
  • 100Steps. 27 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2607 tokens

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
  • -32 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 286: enough signal without eating the budget
  • +4Structure: 43 headings
  • +3Step-by-step instructions: 27 items
  • +4Has examples (13 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: suspicious
This web-search skill is broadly coherent, but it sends API keys and search terms over plain HTTP and saves full results locally by default, so users should review it before installing.
LLM: suspicious (high) · VirusTotal: · 29 May 2026