clawdbot-cost-tracker
No security findings. Scanned 1 time, most recently 2026-02-05.
Second scanner: NVIDIA SkillSpector
Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Track Clawdbot AI model usage and costs accurately. Use when reporting daily/weekly costs, analyzing spending, or monitoring AI usage. Reads actual API cost data from session JSONL files.
- Package
- 5 files, 19 KB
- SKILL.md
- 470 words, 12+ sections
- Code
- JavaScript (2), Shell (1)
SKILL.md covers: Clawdbot Cost Tracker · ⚠️ Important: Data Source · ✅ Correct Data Source · Quick Start · Get All Daily Costs · Get Yesterday's Cost · YESTERDAY=$(date -d "yesterday" +%Y-%m-%d) # Linux · Get Total Lifetime Cost · Get Cost by Model (Advanced) · Use the bundled script · Scripts · `scripts/extract-cost.sh`
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
README.md | doc | 782 B |
SKILL.md | doc | 3.7 KB |
scripts/calculate-cost.js | script | 5.6 KB |
scripts/extract-cost.sh | script | 4.5 KB |
scripts/snapshot-usage.js | script | 4.0 KB |
Environment variables referenced
SESSIONS_DIR BY_MODEL
Package contents recorded 2026-10-22. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Llm analyzer. A language model reads the skill and reports intent-level issues the rules cannot express.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
- Meta analyzer. A second model pass that validates, deduplicates and re-scores the other analyzers' findings.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://clawhub.ai/skills/cost-report
- Raw scan result: cost-tracking-for-models-scan.json
- Badge for your README:
- Request a re-scan