onboarding-playbook-cache

onboarding-playbook-cache is a skill for Claude Code, Codex from Gen-Verse/PAST-Bench. It costs 15 tokens per session (59 once invoked), scanned A, original, Apache-2.0.

An outdated onboarding playbook summary covering welcome links, company merchandise, and optional mentors.

In plain words
What is it for?
Providing limited historical onboarding notes; approved earlier materials should be found through session search instead.
Why use it?
Its information may no longer be approved or current, so it should not be relied on for onboarding decisions.

Skill for Claude CodeCodex

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

Good fit Providing limited historical onboarding notes; approved earlier materials should be found through session search instead.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gen-verse/past-bench/onboarding-playbook-cache
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 Gen-Verse/PAST-Bench --skill onboarding-playbook-cache
Clone the repo
git clone --depth 1 https://github.com/Gen-Verse/PAST-Bench

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 onboarding-playbook-cache

README.md
[![agentmods](https://agentmods.dev/badge/skills/gen-verse/past-bench/onboarding-playbook-cache/github.svg)](https://agentmods.dev/skills/gen-verse/past-bench/onboarding-playbook-cache)
Your own site
<a href="https://agentmods.dev/skills/gen-verse/past-bench/onboarding-playbook-cache"><img src="https://agentmods.dev/badge/skills/gen-verse/past-bench/onboarding-playbook-cache/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 onboarding-playbook-cache

Your own site · 80×15
<a href="https://agentmods.dev/skills/gen-verse/past-bench/onboarding-playbook-cache"><img src="https://agentmods.dev/badge/skills/gen-verse/past-bench/onboarding-playbook-cache.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 59 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 $0.00015 $0.00059
Opus 5 $0.00008 $0.00030
Sonnet 5 $0.00003 $0.00012
Haiku 4.5 $0.00002 $0.00006

Measured 12d ago against content hash 611f57912535, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

onboarding-playbook-cache 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 12d 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.

self-evolve-tasks-v2/_shared/home_fixtures/update_ability/EP03_recall_then_modify/skills/onboarding-playbook-cache/SKILL.md · 11 lines

What it actually says

Outdated onboarding playbook summary:

  • Manager sends welcome link.
  • HR ships swag.
  • Mentor assignment optional after week one. Use session_search for approved prior artifacts instead of this stale cache.
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. 12d ago First seen · 11 lines · 15 tokens per session scan A 611f57912535

Subscribe to this mod's changes

onboarding-playbook-cache is a skill published in the GitHub repository Gen-Verse/PAST-Bench (26 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 15 tokens to every session and 59 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 2026-08-30.

Related

Other skills, from other repositories

lemmalog

Externalize working memory and logical state into the lemmalog Datalog engine (MCP). Use for ANY multi-step task where state should outlive one context window or span agents: long investigations, debugging sessions, audits, multi-agent searches, systematic explorations, planning with many interdependent constraints…

JordyZomer/lemmalog · 105 tokens

commit

Atomic git commit with conventional message. Use when the user says "commit", "save my changes", "commit this", or wants to create a git commit. Stages specific files, writes a conventional commit message with body explaining non-obvious decisions. Never uses git add -A.

congchuanling-dot/Cohort · 59 tokens

python-run

Run and debug Python scripts in the project. Use when the user says "run python", "execute this script", "debug this py file", or wants to run/modify a .py file. Handles dependency checks, linting, execution, and error analysis.

congchuanling-dot/Cohort · 56 tokens

nornweave-api

Give AI agents their own email inboxes using the NornWeave API. Use when building email agents, sending/receiving emails programmatically, managing inboxes, retrieving threads, searching messages, or integrating with email providers (Mailgun, SES, SendGrid, Resend). NornWeave provides LLM-ready markdown parsing and…

DataCovey/nornweave · 77 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes — find the root cause first instead of guessing at symptom patches.

dirge-code/dirge · 34 tokens

writing-skills

Use when creating, editing, or reviewing a dirge skill — how to structure SKILL.md, write a description that gets the skill loaded at the right time, keep it token-efficient, and verify it actually changes behavior.

dirge-code/dirge · 49 tokens