session-review

session-review is a skill for Claude Code, Codex from cyberelf/agent_skills. It costs 183 tokens per session (2,235 once invoked), scanned A, original, MIT.

A tool for reviewing an AI-assisted coding project's history across Copilot CLI, Claude Code, and VS Code sessions. It combines session records into one report.

In plain words
What is it for?
Collecting and organizing coding-session logs, then identifying refactoring opportunities, testing gaps, recurring problems, and process improvements.
Why use it?
It helps reveal repeated bugs, tool errors, missing tests, and inefficient development habits that may be spread across many sessions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths; mentions Claude Code; mentions AGENTS.md.

Good fit Collecting and organizing coding-session logs, then identifying refactoring opportunities, testing gaps, recurring problems, and process improvements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cyberelf/agent_skills/session-review
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 cyberelf/agent_skills --skill session-review
Clone the repo
git clone --depth 1 https://github.com/cyberelf/agent_skills

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 session-review

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/cyberelf/agent_skills/session-review"><img src="https://agentmods.dev/badge/skills/cyberelf/agent_skills/session-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 183 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,235 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 $0.00183 $0.02235
Opus 5 $0.00092 $0.01118
Sonnet 5 $0.00037 $0.00447
Haiku 4.5 $0.00018 $0.00224

Measured 8d ago against content hash f80b68c85fd3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

session-review 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 8d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/get_hist.ts, scripts/normalize_hist.ts, scripts/retro.ts), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/session-review/SKILL.md · 290 lines

How it starts

The opening of the file, as written. The whole thing — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Session Review Skill

You are performing a cross-session AI assistant analysis for a software project. The scripts you need are bundled alongside this SKILL.md in scripts/.

~/.claude/skills/session-review/
├── SKILL.md          ← you are here
└── scripts/
    ├── retro.ts      ← orchestrator (run this)
    ├── get_hist.ts   ← raw session collector
    └── normalize_hist.ts ← normalizer

Set SKILL_SCRIPTS="$HOME/.claude/skills/session-review/scripts" at the start of any bash commands you run, so you can refer to scripts as $SKILL_SCRIPTS/retro.ts.

Follow each phase in order. Do not skip phases.


Phase 0 — Determine the project

  1. If the user invoked this skill with an argument (e.g. /session-review ~/workspace/crab), use that path as PROJECT_PATH.
  2. Otherwise check the current working directory: if it has Cargo.toml, package.json, src/, or similar project markers, use $PWD.
  3. If still ambiguous, ask: "Which project path should I analyze?"

PROJECT_NAME is the directory's basename. Storage lives at ~/.retro/<PROJECT_NAME>/.


Phase 1 — Collect and normalize (the pipeline)

SKILL_SCRIPTS="$HOME/.claude/skills/session-review/scripts"
npx tsx "$SKILL_SCRIPTS/retro.ts" "$PROJECT_PATH" run

This runs two steps automatically:

  • collectget_hist.ts copies raw sessions from Copilot CLI (~/.copilot/session-state), Claude Code (~/.claude/projects/), and VS Code to ~/.retro/<PROJECT_NAME>/raw/
  • normalizenormalize_hist.ts --incremental converts sessions to unified Markdown in ~/.retro/<PROJECT_NAME>/normalized/

On the first run, all sessions are collected. On subsequent runs, only sessions newer than lastCollectedAt in the manifest are added.

If the user wants a full re-analysis from scratch, add --full:

npx tsx "$SKILL_SCRIPTS/retro.ts" "$PROJECT_PATH" run --full

If the pipeline exits non-zero, read its stderr to diagnose before continuing.

Check progress anytime:

npx tsx "$SKILL_SCRIPTS/retro.ts" "$PROJECT_PATH" status

Read the full file on GitHub · 290 lines

Files

What ships with it

3 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.

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. 8d ago First seen · 290 lines · 183 tokens per session scan A f80b68c85fd3

Subscribe to this mod's changes

session-review is a skill published in the GitHub repository cyberelf/agent_skills (2 stars, last pushed 13d ago), licensed MIT. It adds 183 tokens to every session and 2,235 once invoked, about $0.0009 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 2026-08-31.

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