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BF skill-to-http-flash

把单个 Skill 编译成独立 HTTP REST API 微服务（v2.0 subprocess 直执行）。当用户说「skill 暴露成 HTTP 接口」「flash 一个 skill」「skill 起 API 服务」「skill 输入输出结构化」「standalone 跑 skill」 「skill-to-http-flash」时使用。JSON → Python 入口 → 统一 envelope（success/exit_code/data|output/stderr）。 毫秒冷启，运行期不依赖 Gateway/LLM，多 agent runtime 通用（OpenClaw/Claude Code/Cursor）。默认 HTTP，按需 HTTPS。

ClawHub Agent Skills author: Evan Song v2.0.4 MIT-0 9 files body ≈ 2 826 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

把单个 Skill 编译成独立 HTTP REST API 微服务（v2.0 subprocess 直执行）。当用户说「skill 暴露成 HTTP 接口」「flash 一个 skill」「skill 起 API 服务」「skill 输入输出结构化」「standalone 跑 skill」…

As a process F 38/100 · Will not run — References files that are not bundled: scripts/<skill-name>.py, scripts/cli.py, scripts/main.py

IntegrationGitHubAI and agentsSoftware developmenttype 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
82/100
safety, quality, tests
Safety 60%
98
Quality 40%
59
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: scripts/<skill-name>.py, scripts/cli.py, scripts/main.py
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Dangerous commands cmd-background-process scripts/flash.py:753
    Starts a background / autostarted process (string literal in code, not executed)
    nohup python3 server.py start > "$DATA_DIR/logs/{skill_name}.log" 2>&1 &
    code literal
  • low Dangerous commands cmd-background-process scripts/flash.py:1105
    Starts a background / autostarted process (string literal in code, not executed)
    print(f"  sudo systemctl enable {skill_name}-api")
    code literal

Files scanned: 9. 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/<skill-name>.py
  • warning missing-ref reference to a missing file: scripts/cli.py
  • warning missing-ref reference to a missing file: scripts/main.py
  • warning missing-ref reference to a missing file: scripts/run.py

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: scripts/<skill-name>.py, scripts/cli.py, scripts/main.py
  • 0Tools and files. 4 referenced file(s) missing: scripts/<skill-name>.py, scripts/cli.py, scripts/main.py
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 5 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 40 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2826 tokens
  • low 20 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (7 tags): a typed call is more reliable

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
  • -2localhost URLs: will not work for another user
  • -31 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 330: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 40 items
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.

External checks

ClawHub: suspicious
The skill appears purpose-built, but it can expose local skill execution over a network with permissive defaults and persistent job/service behavior that users should review before installing.
LLM: suspicious (high) · 29 Jul 2026