review-learnings

review-learnings is a skill for Claude Code, Codex from tomzx/agents. It costs 20 tokens per session (698 once invoked), scanned A, original, MIT.

A review of a learnings document, which records what a team discovered during a project or sprint. It checks whether the lessons are specific, complete, balanced, and clear enough to guide future action.

In plain words
What is it for?
Checking lessons learned, action items, owners, dates, and measurable process improvements.
Why use it?
It prevents vague retrospectives from being filed away without producing useful changes or repeatable improvements.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Checking lessons learned, action items, owners, dates, and measurable process improvements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tomzx/agents/review-learnings
View source ↗ tomzx/agents
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.

Any agent
npx skills add tomzx/agents --skill review-learnings
Clone the repo
git clone --depth 1 https://github.com/tomzx/agents

Made for: Claude Code, Codex.

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 review-learnings

README.md
[![agentmods](https://agentmods.dev/badge/skills/tomzx/agents/review-learnings/github.svg)](https://agentmods.dev/skills/tomzx/agents/review-learnings)
Your own site
<a href="https://agentmods.dev/skills/tomzx/agents/review-learnings"><img src="https://agentmods.dev/badge/skills/tomzx/agents/review-learnings/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.

agentmods 80×15 button for review-learnings

Your own site · 80×15
<a href="https://agentmods.dev/skills/tomzx/agents/review-learnings"><img src="https://agentmods.dev/badge/skills/tomzx/agents/review-learnings.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 698 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original 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 $0.00020 $0.00698
Opus 5 $0.00010 $0.00349
Sonnet 5 $0.00004 $0.00140
Haiku 4.5 $0.00002 $0.00070

Measured 6d ago against content hash c8e0a5780d45, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

review-learnings 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 6d 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/review-learnings/SKILL.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review Learnings

Audits a learnings document and reports findings across four categories: actionability, specificity, completeness, and balance.

Prerequisites

  • Apply the shared SDLC conventions in skills/sdlc/references/shared.md.
  • If no argument is provided, locate the feature directory under .sdlc/features/ whose frontmatter issue field references $ISSUE_NUMBER.
  • .sdlc/knowledge/learnings/N-<slug>.md, or a learnings document provided in context or as a file path

Steps

  1. Read the learnings document from .sdlc/knowledge/learnings/N-<slug>.md if present, otherwise from context or as a file path.
  2. Evaluate it against the checklist below.
  3. Report findings by category. Omit categories with no findings.
  4. After all findings are resolved: set the learnings document's frontmatter status to complete.

Review Checklist

Actionability

  • Do process improvements have a concrete action, an owner, and a target date?
  • Are action items specific enough to execute without further clarification?
  • Are improvements measurable so progress can be tracked?

Specificity

  • Are observations specific to this project or sprint (not generic platitudes)?
  • Do root causes go deeper than symptoms ("we ran late" → "why did we run late")?
  • Are technical insights detailed enough to be useful in the next project?

Completeness

  • Are both positive and negative learnings captured?
  • Are technical and process dimensions both covered?
  • If metrics were available, are they included?
  • Are significant events (scope changes, blockers, surprises) addressed?

Balance

  • Is the document balanced between what went well and what didn't?
  • Are team contributions recognized in the positives?
  • Is the tone constructive rather than critical of individuals?

Output Format

## Actionability

<Findings or "No issues found.">

## Specificity

<Findings or "No issues found.">

## Completeness

<Findings or "No issues found.">

## Balance

<Findings or "No issues found.">

Read the full file on GitHub · 95 lines

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. 6d ago First seen · 95 lines · 20 tokens per session scan A c8e0a5780d45

Subscribe to this mod's changes

review-learnings is a skill published in the GitHub repository tomzx/agents (6 stars, last pushed yesterday), licensed MIT. It adds 20 tokens to every session and 698 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.

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