prep

prep is a skill for Claude Code, Codex from AIOSAI/AIPass. It costs 33 tokens per session (868 once invoked), scanned A, original, MIT.

A session wrap-up procedure for recording what was learned, checking plans and messages, and reviewing the project's Git state. Git is a system for tracking code changes.

In plain words
What is it for?
Updating project memories and follow-up tasks, checking the inbox and plans, reviewing changes in Git, and flagging loose ends before closing a session.
Why use it?
It helps prevent unfinished work, forgotten notes, and unclear project state when a coding session ends or is paused.

Skill for Claude CodeCodex

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/aiosai/aipass/prep
Any agent
npx skills add AIOSAI/AIPass --skill prep
Clone the repo
git clone --depth 1 https://github.com/AIOSAI/AIPass

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 prep

README.md
[![agentmods](https://agentmods.dev/badge/skills/aiosai/aipass/prep.svg)](https://agentmods.dev/skills/aiosai/aipass/prep)
Your own site
<a href="https://agentmods.dev/skills/aiosai/aipass/prep"><img src="https://agentmods.dev/badge/skills/aiosai/aipass/prep.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 868 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00033 $0.00868
Opus 5 $0.00016 $0.00434
Sonnet 5 $0.00007 $0.00174
Haiku 4.5 $0.00003 $0.00087

Measured 3d ago against content hash 9339d06b8f96, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

prep 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.

.codex/skills/prep/SKILL.md · 62 lines

How it starts

The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Session Wrap-Up

Purpose: Button up everything at the end of a session — or before a /compact. Memories, plans, git — all tidy.

Execution

  1. Read .trinity/passport.json first — re-absorb your identity before writing anything
  2. Do ALL of the following, then confirm what was updated

1. Memories

  • .trinity/local.json — Add/update session entry with summary of work done. Add new key_learnings for anything learned this session.
  • .trinity/observations.json — Add collaboration insights if anything notable happened. Skip if nothing new.
  • .trinity/passport.json — Only update if role/purpose/principles genuinely changed this session.

Entry shape — one rule for all four types: key_learnings, sessions, todos (local.json) and observations (observations.json) are all lists, newest at top (index 0). Every entry carries a number (monotonic int per type — highest = newest, never reused; new = current max + 1) and a date (ISO), plus its text field + extras: key_learnings {number, date, key, value} · sessions {number, date, summary, status, tags} · todos {number, date, task, priority, status} · observations {number, date, note, tags}. Stamp number + date and prepend; don't hand-trim sessions/key_learnings/observations — rollover archives the oldest by number automatically. Todos are the exception — rollover never touches them, so you prune done ones by hand (see Reconcile).

Reconcile todos — verify against reality, don't trust the label. Stored status drifts (a todo finished a past session often never got closed). Audit every open todo against the actual system: file/dir still there? code path in or out? README says what it claims? audit passes? Close what's verifiably done → note it in the session entry, then DELETE the todo from the array (rollover never trims todos — they're operational — so done items left as status: done pile up and go stale across chats), re-scope partials, leave deferred/pending-decision ones open. Fail honestly — remove only on evidence, never to tidy the list. Use ls/find/git ls-files/grep/drone @seedgo audit, not assumptions.

Read the full file on GitHub · 62 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. 3d ago First seen · 62 lines · 33 tokens per session scan A 9339d06b8f96

Subscribe to this mod's changes

prep is a skill published in the GitHub repository AIOSAI/AIPass (264 stars, last pushed 4d ago), licensed MIT. It adds 33 tokens to every session and 868 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.