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FD api-logger

LLM API 调用日志记录、分析与可视化。透明代理拦截所有 LLM API 调用，记录完整 prompt/generation/token 用量， 附带零依赖网页日志查看器（支持多维过滤、完整对话展示、token 成本统计）。 适用场景：分析 API 调用成本、调试 prompt、查看历史对话记录、排查慢请求/失败请求。 包含：proxy.py（代理服务）、log_viewer.py（终端查看器）、log-viewer.html（网页查看器）。

Not recommendedcritical or high security findings · low grade F
ClawHub Agent Skills author: xiaohuaishu v1.2.0 MIT-0 7 files · 1 script body ≈ 609 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI 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
F
39/100
safety, quality, tests
Safety 60%
18
Quality 40%
71
Run on models
none yet
Process rating
D
48/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.

Dangerous commands
If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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.
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 · 6

  • high Dangerous commands cmd-persistence install.sh:89
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    launchctl load "$PLIST_PATH"
  • high Dangerous commands cmd-persistence README.md:103
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    launchctl unload ~/Library/LaunchAgents/com.lobster.api-proxy.plist
  • high Dangerous commands cmd-persistence README.md:104
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    launchctl load ~/Library/LaunchAgents/com.lobster.api-proxy.plist
  • high Dangerous commands cmd-persistence README.md:248
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    ~/Library/LaunchAgents/
Medium and low: 2
  • medium Dangerous commands cmd-persistence install.sh:10
    Persistence mechanism (cron / launchd / scheduled task / autorun registry) (string literal in code, not executed)
    PLIST_PATH="$HOME/Library/LaunchAgents/com.lobster.api-proxy.plist"
    code literal
  • medium Dangerous commands cmd-persistence README.md:71
    Persistence mechanism (cron / launchd / scheduled task / autorun registry) (quoted — discussed, not commanded)
    - 写入 LaunchAgent plist（`~/Library/LaunchAgents/com.lobster.api-proxy.plist`）
    quoted

Files scanned: 7. 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")

Process rating: all ten parameters 48/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 26 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 609 tokens
  • 100Running it twice. No mutating operations
  • 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
  • -2localhost URLs: will not work for another user
  • +2Single-language instructions
  • +3Description length 225: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (4 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: suspicious
This is a real API logging tool, but it persistently captures complete LLM conversations and can export them externally, so users should review it carefully before installing.
LLM: suspicious (high) · VirusTotal: · 29 May 2026