SKILLEMALL.ai
GitHub ↗ RU Sign in

BF 狐表(Foxtable) 开发文档

狐表(Foxtable)开发文档第 1 部分（共 2 部分，因 ClawHub 单包体积限制拆分）。基于最新 foxtable.chm 完整重转，完整保留 9 层导航结构。另见 foxtable-dev-doc-2。

ClawHub Agent Skills author: LGYS v2.0.8 MIT-0 6 files body ≈ 100 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

狐表(Foxtable)开发文档第 1 部分（共 2 部分，因 ClawHub 单包体积限制拆分）。基于最新 foxtable.chm 完整重转，完整保留 9 层导航结构。另见 foxtable-dev-doc-2。

As a process F 31/100 · Will not run — References files that are not bundled: references/02_开发指南.md

Proceduretype 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
78/100
safety, quality, tests
Safety 60%
95
Quality 40%
53
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: references/02_开发指南.md
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/11_附录.md:505
    High-entropy token-like string (may be an id, hash or a credential)
    | 84 | Japa…ted |
  • low Secrets in code secret-high-entropy-token references/11_附录.md:506
    High-entropy token-like string (may be an id, hash or a credential)
    | 85 | Japa…ted |
  • low Secrets in code secret-high-entropy-token references/11_附录.md:507
    High-entropy token-like string (may be an id, hash or a credential)
    | 86 | Japa…ted |
  • low Secrets in code secret-high-entropy-token references/11_附录.md:508
    High-entropy token-like string (may be an id, hash or a credential)
    | 87 | **Japa…ted** |
  • low Secrets in code secret-high-entropy-token references/11_附录.md:513
    High-entropy token-like string (may be an id, hash or a credential)
    | 92 | Japa…ted |

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: references/02_开发指南.md
  • note frontmatter-key unknown frontmatter key "read_when"

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: references/02_开发指南.md
  • 0Tools and files. 1 referenced file(s) missing: references/02_开发指南.md
  • 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 (狐表(Foxtable) 开发文档) differs from the folder (foxtable-dev-doc-1)
  • 100Steps. 5 steps
  • 100Execution cost. Instruction body is 100 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)
  • +3Description length 108: 120–800 characters recommended
  • +4Structure: 2 headings, hard to scan
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Step-by-step instructions: 5 items
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 53.

External checks

ClawHub: clean
This is a Foxtable development documentation skill, and the flagged behavior appears to be a bilingual title rather than a hidden or dangerous capability.
LLM: benign (high) · VirusTotal: · 21 Jul 2026