BF token-monitor
分析 OpenClaw 会话 JSONL 文件，监控各 skill/功能的 token 消耗（输入/输出/缓存命中）和成功率。当需要分析会话 token 使用、跟踪性能或生成使用报告时使用。关键词触发：token、会话分析、skill 性能、使用报告。
As a process F 31/100 · Will not run — References files that are not bundled: references/metrics-calculation.md
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 0
✓ No critical or high findings
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: references/metrics-calculation.md
Process rating: all ten parameters 31/100
Will not run. References files that are not bundled: references/metrics-calculation.md
- 0Tools and files. 1 referenced file(s) missing: references/metrics-calculation.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 (token-monitor) differs from the folder (qy-token-monitor)
- 100Steps. 22 steps
- 100Execution cost. Instruction body is 420 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 126: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 22 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.
External checks
ClawHub: clean
This skill is a local token-usage report generator whose file access is mostly expected, with privacy caveats around session logs and a small under-disclosed read of installed skill names.
LLM: benign (high) · VirusTotal: · 29 May 2026