AIPass: Skill for Claude Code

.agents/skills/prep/SKILL.md

prep is a skill for Claude Code, Codex from AIOSAI/AIPass. It costs 33 tokens per session (1,496 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

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is AIOSAI/AIPass's own configuration. It tells Claude Code and Codex how to work on AIPass itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything AIPass configures →

Reuse

Borrowing it

Nothing to install: this file belongs to AIOSAI/AIPass. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/AIOSAI/AIPass/main/.agents/skills/prep/SKILL.md
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/github.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/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 prep

Your own site · 80×15
<a href="https://agentmods.dev/skills/aiosai/aipass/prep"><img src="https://agentmods.dev/badge/skills/aiosai/aipass/prep.svg" alt="Reviewed on agentmods" width="80" 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 1,496 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 34
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
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 $0.00033 $0.01496
Opus 5.5 $0.00013 $0.00598
Sonnet 5.5 $0.00007 $0.00299
Haiku 4.5 $0.00003 $0.00150

Measured yesterday against content hash 339b64041361, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 yesterday.

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.

.agents/skills/prep/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 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. Works for both closing out a chat and preparing for compaction.

Workflow: /prep → review output → close chat or /compact

Execution

  1. Pin the interrupted thread FIRST — before any wrap-up work, write one sentence naming what the conversation was doing when /prep fired (the live task, question, or build mid-flight — "nothing in flight" counts). Prep often auto-triggers mid-task and the wrap-up steps flush the thread from attention; this line is what gets it back. It becomes the Resuming line at the end.
  2. Read .trinity/passport.json — re-absorb your identity before writing anything
  3. Do ALL of the following, then confirm what was updated

1. Memories

Each memory file plays a distinct role. Update based on what actually changed this session.

  • .trinity/passport.json — IDENTITY. Who you are: role, capabilities, principles. Only update if identity genuinely evolved this session.
  • .trinity/local.json — YOUR MEMORY. Add/update session entry with a summary of work done. Add key_learnings for anything learned. Update todos[] with current in-flight items — one line each, under 100 chars, no status.
  • .trinity/observations.json — YOUR MEMORY OF THE USER. Collaboration insights, preferences, friction points. Skip if nothing new about the user this session.

Entry shape — one rule for all four types

key_learnings, sessions, todos (local.json) and observations (observations.json) all share ONE shape: a list of objects, newest at the top (index 0). Every entry carries:

  • number — a monotonic int per type (highest = newest, never reused). New entry's number = current max for that type + 1.
  • date — ISO date/datetime.
  • Plus its text field + extras: key_learnings {number, date, key, value} · sessions {number, date, summary, status, tags} · todos {number, date, task, priority?} (no status — the story lives in sessions and plans) · observations {number, date, note, tags}.

Read the full file on GitHub · 93 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. yesterday Changed · +31 lines 339b64041361
  2. 1mo 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 (306 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 1,496 once invoked, about $0.0001 per session on Opus 5.5. 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.