learn-lessons

learn-lessons is a skill for Claude Code from dbc-oduffy/coordinator-claude. It costs 18 tokens per session (1,662 once invoked), scanned A, original, no licence file.

A process for turning recorded lessons into requests to change project guidance, either locally or centrally.

In plain words
What is it for?
Use it to review lesson entries and propose changes to project doctrine.
Why use it?
It gives lessons a defined path into updated working rules.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Installs and runs on its own, but its text points at files inside its plugin — anything it tells you to read at a ${CLAUDE_PLUGIN_ROOT} path is only there once the plugin is installed. Installing the plugin gets both.

Part of the coordinator plugin — 39 skills, 16 commands, 38 agents, 9 hooks shipped together

Install

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.

agentmods
npx agentmods add skills/dbc-oduffy/coordinator-claude/learn-lessons
Any agent
npx skills add dbc-oduffy/coordinator-claude --skill learn-lessons
Clone the repo
git clone --depth 1 https://github.com/dbc-oduffy/coordinator-claude

Made for: Claude Code.

Or install coordinator, the plugin that ships this one along with the rest of its 39 skills, 16 commands, 38 agents, 9 hooks.

Wrote 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.

agentmods badge for learn-lessons

README.md
[![agentmods](https://agentmods.dev/badge/skills/dbc-oduffy/coordinator-claude/learn-lessons.svg)](https://agentmods.dev/skills/dbc-oduffy/coordinator-claude/learn-lessons)
Your own site
<a href="https://agentmods.dev/skills/dbc-oduffy/coordinator-claude/learn-lessons"><img src="https://agentmods.dev/badge/skills/dbc-oduffy/coordinator-claude/learn-lessons.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,662 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00018 $0.01662
Opus 5 $0.00009 $0.00831
Sonnet 5 $0.00004 $0.00332
Haiku 4.5 $0.00002 $0.00166

Measured 2d ago against content hash 362e753c4a78, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

learn-lessons 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 2d 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.

skills/learn-lessons/SKILL.md · 97 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Changes

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.

  1. 2d ago First seen · 97 lines · 18 tokens per session scan A 362e753c4a78

Subscribe to this mod's changes

learn-lessons is a skill published in the GitHub repository dbc-oduffy/coordinator-claude (5 stars, last pushed yesterday), with no licence file. It adds 18 tokens to every session and 1,662 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 2026-09-03.

Related

Other skills, from other repositories

evolve

Research-driven multi-cycle improvement director. Forms causal hypotheses about why scores are low, validates them with scout agents before attacking, dispatches axis-parallel fleet attacks, extracts transferable patterns, and runs indefinitely within a budget envelope. Accumulates a persistent belief model and…

SethGammon/Citadel · 60 tokens

improve

Autonomous quality improvement loop. Scores a target against a rubric, selects the highest-leverage axis, attacks it, verifies, documents, and loops. No pre-planning between iterations — each loop re-scores from scratch.

SethGammon/Citadel · 48 tokens

watch

File sentinel that monitors the working directory for changes and marker comments, then auto-triggers appropriate skills. Poll-based via git diff against the last scan commit. Writes intake items for batch processing and routes marker actions through /do. Use for automatic reactions to file changes; do NOT use for…

SethGammon/Citadel · 70 tokens

review

5-pass structured code review — correctness, security, performance, readability, consistency.

SethGammon/Citadel · 17 tokens

experiment

Automated optimization loop with scalar fitness function. Proposes changes in isolated worktrees, measures with a metric command, keeps improvements, discards failures. Supports convergence detection and diminishing returns.

SethGammon/Citadel · 39 tokens

test-gen

Generate and verify tests — happy path, edge cases, error paths — using the project's own framework and patterns.

SethGammon/Citadel · 24 tokens