Borrowing it
Nothing to install: this file belongs to walm00/business-context-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/walm00/business-context-os/main/.claude/skills/lessons-consolidate/SKILL.mdgit clone --depth 1 https://github.com/walm00/business-context-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/walm00/business-context-os/lessons-consolidate)<a href="https://agentmods.dev/skills/walm00/business-context-os/lessons-consolidate"><img src="https://agentmods.dev/badge/skills/walm00/business-context-os/lessons-consolidate/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/walm00/business-context-os/lessons-consolidate"><img src="https://agentmods.dev/badge/skills/walm00/business-context-os/lessons-consolidate.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00031 | $0.00707 |
| Opus 5 | $0.00015 | $0.00353 |
| Sonnet 5 | $0.00006 | $0.00141 |
| Haiku 4.5 | $0.00003 | $0.00071 |
Grade A, and why
lessons-consolidate 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lessons Consolidate
Purpose
This skill IS:
- A periodic curator of institutional knowledge in lessons.json
- A tool for detecting stale, overlapping, or contradictory lessons
- A way to keep the lessons collection healthy and useful
This skill IS NOT:
- For capturing new lessons (use ecosystem-manager for that)
- Automatically scheduled (invoke it periodically)
- A replacement for reading lessons (it maintains, doesn't apply them)
When to Use
- Monthly or every 10-15 sessions (whichever comes first)
- When lessons.json feels cluttered
- When you suspect lessons are outdated
- When you want to understand patterns across sessions
Modes
1. Analyze
Check the current state of lessons.json:
python .claude/scripts/consolidate_lessons.py
Identifies:
- Stale lessons: Referenced concepts that no longer exist
- Overlapping lessons: Multiple lessons saying the same thing
- Contradictions: Lessons that conflict with each other
- Tag gaps: Important topics with no lessons
- Usage patterns: Which tags are over/under-represented
2. Consolidate
After analysis, with user approval:
- Archive stale lessons (don't delete - move to archived section)
- Merge overlapping lessons into single stronger lessons
- Flag contradictions for user resolution
- Suggest new lessons for uncovered areas
3. Report
Generate a health summary:
- Total lessons and trend
- Tag distribution
- Staleness assessment
- Recommendations for next actions
Guidelines
Good lessons are:
- Specific enough to act on
- General enough to apply to future situations
- Tagged with relevant categories
- Tied to a real experience (not hypothetical)
Boundary: Lessons vs Wiki
Use this boundary when bcos-wiki exists:
| Content | Owning surface |
|---|---|
| Atomic, reusable rule for future agents or humans | lessons.json via ecosystem-manager |
| Narrative incident explanation, timeline, causes, and follow-up context | Wiki post-mortem page-type |
| Decision narrative, alternatives considered, and why a choice was made | Wiki decision-log page-type |
| Step-by-step operational response | Wiki how-to or runbook page-type |
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.
- 11d ago First seen · 107 lines · 31 tokens per session scan A 731d9675eadc
lessons-consolidate is a skill published in the GitHub repository walm00/business-context-os (21 stars, last pushed 3mo ago), licensed MIT. It adds 31 tokens to every session and 707 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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