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/openshift/oc/learn-historynpx skills add openshift/oc --skill learn-historygit clone --depth 1 https://github.com/openshift/ocWhat 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 | $0.00037 | $0.00419 |
| Opus 5 | $0.00018 | $0.00210 |
| Sonnet 5 | $0.00007 | $0.00084 |
| Haiku 4.5 | $0.00004 | $0.00042 |
Grade A, and why
learn-history scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Analyze the full session history for this project to extract knowledge worth persisting.
Session logs location
Session logs are JSONL files at the project config path. Find them with:
ls -lhS ~/.claude/projects/$(echo "$PWD" | tr '/' '-')/*.jsonl
Each line is a JSON object with a type field (user for user messages, others for assistant responses). User messages have .message.content with the prompt text.
Process
- Read the current state of AGENTS.md, .claude/agents/*.md, and the memory index for this project at
~/.claude/projects/$(echo "$PWD" | tr '/' '-')/memory/MEMORY.md(skip if absent) - List all session files, sorted by size (larger sessions have more content worth mining)
- For each session, extract user messages and assistant text responses (skip tool results — they're too large). Focus on:
- User corrections and redirections
- Patterns that were discovered after expensive exploration
- Knowledge that was needed repeatedly across sessions
- Cross-reference findings against what's already documented to avoid duplicates
- Group findings by destination:
- AGENTS.md — brief conventions/rules (1-2 lines each)
- .claude/agents/*.md — agent-specific knowledge
- Memory — user preferences, project context, feedback
- Nowhere — already documented or too specific to recur
- Present a summary of all proposed changes for approval. Do NOT write anything until approved.
Guidelines
- Prioritize findings that recur across multiple sessions — those have the highest ROI
- Keep AGENTS.md entries concise. If something needs more than 2 lines, it probably doesn't belong there.
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.
- 3d ago First seen · 38 lines · 37 tokens per session scan A 517866dcae95
learn-history is a skill published in the GitHub repository openshift/oc (245 stars, last pushed 6d ago), licensed Apache-2.0. It adds 37 tokens to every session and 419 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 2026-08-30.
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