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CF xdcc-batch-query

小递查查（xdccy.com）批量快递物流查询技能，面向客户开箱即用。当用户需要注册小递查查账号并批量查询快递、或已注册后批量查物流/导出报表时使用。内置「无障碍注册引导」（自动拉起浏览器、页面分步横幅、自动填表，仅需客户完成短信验证码与滑块两步安全校验），注册后自动获取 API Key 并写入凭据，立即进入并发批量查询、聚合统计与多格式导出（JSON/CSV/TXT）。遇到无法自动解决的问题，统一给出会话内的自助排查步骤。

ClawHub Agent Skills author: xdccycom v1.0.0 MIT-0 25 files · 7 scripts body ≈ 1 309 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

小递查查（xdccy.com）批量快递物流查询技能，面向客户开箱即用。当用户需要注册小递查查账号并批量查询快递、或已注册后批量查物流/导出报表时使用。内置「无障碍注册引导」（自动拉起浏览器、页面分步横幅、自动填表，仅需客户完成短信验证码与滑块两步安全校验），注册后自动获取 API Key…

As a process F 31/100 · No process to follow — References files that are not bundled: scripts/batch_query.py:generate_data_sign()

IntegrationLogistics and warehousetype 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
85/100
safety, quality, tests
Safety 60%
95
Quality 40%
70
Run on models
none yet
Process rating
F
31/100
No process to follow
References files that are not bundled: scripts/batch_query.py:generate_data_sign()
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

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token references/api_reference.md:42
    High-entropy token-like string (may be an id, hash or a credential)
    Sign = NDJl…YmE%3d
  • low Secrets in code secret-high-entropy-token scripts/batch_query.py:87
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    Sign = "NDJl…YmE%3d"
    quoted
  • low Secrets in code secret-high-entropy-token scripts/selftest.py:46
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    expect = "NDJl…YmE%3d"
    fixturequoted

A further 2 matches are quotations in this security skill's documentation and are not counted as findings.

Files scanned: 12. 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: scripts/batch_query.py:generate_data_sign()
  • note frontmatter-key unknown frontmatter key "display_name"
  • note frontmatter-key unknown frontmatter key "display_name_en"
  • note frontmatter-key unknown frontmatter key "description_zh"
  • note frontmatter-key unknown frontmatter key "description_en"
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: scripts/batch_query.py:generate_data_sign()
  • 0Tools and files. 1 referenced file(s) missing: scripts/batch_query.py:generate_data_sign()
  • 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
  • 40Consistency. Frontmatter name (xdcc-batch-query) differs from the folder (batch-query)
  • 100Steps. 35 steps
  • 100Execution cost. Instruction body is 1309 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

  • +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 214: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 35 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 7 scripts are documented

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

External checks

ClawHub: suspicious
The skill mostly matches its stated logistics purpose, but it handles account passwords and stores reusable API/session credentials in a plaintext local file.
LLM: suspicious (high) · 5 Oct 2026