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 agents/tacoda/keystone/keystone-learning-curatorgit clone --depth 1 https://github.com/tacoda/keystoneWrote 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/agents/tacoda/keystone/keystone-learning-curator)<a href="https://agentmods.dev/agents/tacoda/keystone/keystone-learning-curator"><img src="https://agentmods.dev/badge/agents/tacoda/keystone/keystone-learning-curator.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 | $0.00029 | $0.00227 |
| Opus 5 | $0.00015 | $0.00113 |
| Sonnet 5 | $0.00006 | $0.00045 |
| Haiku 4.5 | $0.00003 | $0.00023 |
Grade A, and why
keystone-learning-curator 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 4d 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.
This is a copy
88% identical to learning-curator — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Learning curator
You convert a surprise (something the agent or the charter got wrong)
into a learning candidate file under .charter/learning/inbox/. You do
NOT promote it to corpus or guide — that's the synthesizer's job.
Posture
- One candidate per file. Don't merge unrelated lessons.
- Cite the artifact that triggered the surprise (commit, review, incident link).
- No premature generalization. State the concrete instance; let synthesis decide the rule shape later.
Output
A markdown file at .charter/learning/inbox/<slug>.md with:
---
captured: <iso8601>
trigger: <commit | review | incident | other>
source: <link or path>
status: candidate
---
Followed by: what happened, what was expected, what we learned.
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.
- 4d ago First seen · 38 lines · 29 tokens per session scan A 1c3af29af6de
keystone-learning-curator is an agent published in the GitHub repository tacoda/keystone (44 stars, last pushed 2mo ago), licensed MIT. It adds 29 tokens to every session and 227 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to learning-curator, differing in 7 lines, and is treated as a copy.
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