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AC feapder

Build, modify, and debug feapder 1.9.2 spiders and projects with the framework's native patterns. Use when working on feapder codebases or when requests mention feapder, AirSpider, Spider, TaskSpider, BatchSpider, Request/Response parsing, Item or UpdateItem, pipeline integration, render settings, project scaffolding, or feapder CLI workflows. Also trigger on common Chinese requests such as 编写feapder爬虫, 改feapder项目, 新建AirSpider, 分布式Spider, TaskSpider任务表, BatchSpider批次爬虫, feapder入库, feapder渲染, feapder调试, feapder shell, 生成item, 修改setting.py, or 分析feapder示例代码.

ClawHub Agent Skills author: fqxue v1.0.0 MIT-0 26 files body ≈ 1 772 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

GeneratorSoftware developmentInfrastructuretype 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
A
94/100
safety, quality, tests
Safety 60%
98
Quality 40%
88
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Obfuscation obf-base64-blob references/vendor/feapder-1.9.2/docs/command/cmdline.md:371
      Long base64-looking blob (quoted — discussed, not commanded)
      -H 'Cookie: PSTM=1589621705; BAIDUID=BC3B…:FG=1; BIDUPSID=0164…0DE; BD_UPN=123253; BDUSS=nl2a…hGT
      quoted
    • low Obfuscation obf-base64-blob references/vendor/feapder-1.9.2/docs/command/cmdline.md:377
      Long base64-looking blob (quoted — discussed, not commanded)
      body = {'data': {}, 'headers': {'Connection': 'keep-alive', 'Pragma': 'no-cache', 'Cache-Control': 'no-cache', 'Upgrade-Insecure-Requests': '1', 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 1
      quoted

    Files scanned: 26. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 58/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 1 mutating operations with no state check
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 65Failures and branches. 3 branches
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 49 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1772 tokens
    • 100Progress reporting. Reports progress

    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
    • +1No license
    • +2Single-language instructions
    • +3Description length 562: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 49 items
    • +4Has examples (0 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    The skill is a coherent feapder coding helper, but users should be careful because its bundled upstream reference files include unsafe Redis parsing and credential-handling examples.
    LLM: benign (high) · VirusTotal: · 29 May 2026