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 agentmods add skills/wyattowalsh/agents/plannotator-lastnpx skills add wyattowalsh/agents --skill plannotator-lastgit clone --depth 1 https://github.com/wyattowalsh/agentsWrote 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/wyattowalsh/agents/plannotator-last)<a href="https://agentmods.dev/skills/wyattowalsh/agents/plannotator-last"><img src="https://agentmods.dev/badge/skills/wyattowalsh/agents/plannotator-last.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 | $0.00027 | $0.00207 |
| Opus 5 | $0.00014 | $0.00103 |
| Sonnet 5 | $0.00005 | $0.00041 |
| Haiku 4.5 | $0.00003 | $0.00021 |
Grade A, and why
plannotator-last 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 5d 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
Plannotator Last
Run:
plannotator annotate-last $ARGUMENTS
The output will be one of:
- The exact text
The user approved., or a JSON object with"decision": "approved". Acknowledge with a single sentence and stop. Do not begin any work. - Empty, or a JSON object with
"decision": "dismissed". Acknowledge with a single sentence and stop. Do not begin any work. - Plaintext annotation feedback, or a JSON object with
"decision": "annotated"and a"feedback"field. Revise the last message or continue based on the feedback.
Do not ask the user to copy shell commands into chat. Run the command yourself.
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.
- 5d ago First seen · 22 lines · 27 tokens per session scan A d4b1a0db3213
plannotator-last is a skill published in the GitHub repository wyattowalsh/agents (5 stars, last pushed 3d ago), licensed MIT. It adds 27 tokens to every session and 207 once invoked, about $0.0001 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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