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/ai-driven-dev/framework/10-learnnpx skills add ai-driven-dev/framework --skill 10-learngit clone --depth 1 https://github.com/ai-driven-dev/frameworkWrote 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/ai-driven-dev/framework/10-learn)<a href="https://agentmods.dev/skills/ai-driven-dev/framework/10-learn"><img src="https://agentmods.dev/badge/skills/ai-driven-dev/framework/10-learn.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 | $0.00047 | $0.00271 |
| Opus 5 | $0.00023 | $0.00135 |
| Sonnet 5 | $0.00009 | $0.00054 |
| Haiku 4.5 | $0.00005 | $0.00027 |
Grade A, and why
10-learn 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 yesterday.
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
Learn
flowchart LR
source --> gather --> assess --> write
source -->|"missing, empty, or ambiguous"| sourceStop([stop])
gather -->|"no candidates"| gatherEnd([end])
assess -->|"all covered"| assessEnd([end])
write -->|"memory or ADR"| sync
write -->|"rule or skill"| handoff([handoff])
sync -->|"failure"| syncStop([stop])
Actions
Run the flow above. Read only the next action file.
| Action | Does |
|---|---|
| source | identify and challenge the origin |
| gather | read the origin and extract candidates |
| assess | score, reconcile, show, and confirm |
| write | write or hand off approved lessons |
| sync | refresh memory references |
Transversal rules
- Write only the user-approved plan.
- Preserve user edits and touch affected files only.
- Write project files only, never personal or global memory.
What ships with it
15 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.
- actions/01-source.md 773 B
- actions/02-gather.md 701 B
- actions/03-assess.md 1.1 KB
- actions/04-write.md 1.1 KB
- actions/05-sync.md 952 B
- assets/adr-template.md 479 B
- assets/learning-packet.md 487 B
- assets/recommendation-table.md 632 B
- assets/write-report.md 316 B
- references/assessment.md 757 B
- references/destinations.md 1.4 KB
- references/gather-protocol.md 1.1 KB
- references/review-protocol.md 502 B
- references/sources.md 803 B
- references/sync-arguments.md 536 B
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.
- yesterday First seen · 36 lines · 47 tokens per session scan A 8128dd2ec1e1
10-learn is a skill published in the GitHub repository ai-driven-dev/framework (453 stars, last pushed yesterday), licensed MIT. It adds 47 tokens to every session and 271 once invoked, about $0.0002 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 2026-09-03.
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