Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add dailyaiagents-cpu/dailyai-os --skill skill-invocation-trackergit clone --depth 1 https://github.com/dailyaiagents-cpu/dailyai-osWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/dailyaiagents-cpu/dailyai-os/skill-invocation-tracker)<a href="https://agentmods.dev/skills/dailyaiagents-cpu/dailyai-os/skill-invocation-tracker"><img src="https://agentmods.dev/badge/skills/dailyaiagents-cpu/dailyai-os/skill-invocation-tracker.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00068 | $0.00450 |
| Opus 5 | $0.00034 | $0.00225 |
| Sonnet 5 | $0.00014 | $0.00090 |
| Haiku 4.5 | $0.00007 | $0.00045 |
Grade A, and why
skill-invocation-tracker scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
skill-invocation-tracker
The thesis: a skill catalog without telemetry is a graveyard waiting to happen. With telemetry, dead skills surface for promote/delete and hot skills surface for optimization budgets.
Procedure
# At the start of any skill's run.sh:
bash skills/skill-invocation-tracker/run.sh start <skill-name>
# At the end:
bash skills/skill-invocation-tracker/run.sh end <skill-name> <status>
# where status is ok | error | skip
The skill writes one JSON line per call to data/skill-telemetry/invocations.jsonl.
Output schema
{"event": "start", "skill": "overnight-founder", "ts": "<ISO>", "pid": 12345}
{"event": "end", "skill": "overnight-founder", "ts": "<ISO>", "pid": 12345, "status": "ok", "duration_sec": 34.1}
The reader pairs start/end by pid. Unmatched starts (orphan PIDs older than 30 minutes) are flagged as crashed.
Status codes
STATUS=ok event=<start|end> / STATUS=error reason=<...>
Why append-only
A live counter file is a contention point. Append-only JSONL is reader-friendly, append-cheap, trivially shippable as a daily snapshot.
Permitted in meta-skill template
The meta-skill scaffold (cont-17v3 F.1) gets an automatic two-line instrumentation snippet from cont-18 D.1. Future scaffolded skills inherit telemetry by default.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 44 lines · 68 tokens per session scan A f6ae80a28f52
skill-invocation-tracker is a skill published in the GitHub repository dailyaiagents-cpu/dailyai-os (0 stars, last pushed 3mo ago), licensed MIT. It adds 68 tokens to every session and 450 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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