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reference-pack

reference-pack is a skill for Claude Code, Codex from cynthiajones34/GBrain. It costs 31 tokens per session (1,013 once invoked), scanned A, a copy of reference-pack, MIT.

A reference skillpack that documents the files and quality checks expected in a third-party gbrain skillpack. A skillpack is a package of agent instructions and related tests or operating guides.

In plain words
What is it for?
Use it when creating or reviewing a skillpack, including its manifest, skill instructions, bootstrap runbook, tests, evaluation files, and changelog.
Why use it?
It gives authors a concrete structure for packaging skills and explains what gbrain's doctor checks before publication.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for gbrain. Also seen: mentions Codex; built for gbrain.

not rated 0repo 2mo ago A scan 31 tokens copy · 100% MIT

Good fit Use it when creating or reviewing a skillpack, including its manifest, skill instructions, bootstrap runbook, tests, evaluation files, and changelog.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cynthiajones34/gbrain/reference-pack
View source ↗ cynthiajones34/GBrain thebuildersopsstudio.com
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 cynthiajones34/GBrain --skill reference-pack
Clone the repo
git clone --depth 1 https://github.com/cynthiajones34/GBrain

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 reference-pack

README.md
[![agentmods](https://agentmods.dev/badge/skills/cynthiajones34/gbrain/reference-pack/github.svg)](https://agentmods.dev/skills/cynthiajones34/gbrain/reference-pack)
Your own site
<a href="https://agentmods.dev/skills/cynthiajones34/gbrain/reference-pack"><img src="https://agentmods.dev/badge/skills/cynthiajones34/gbrain/reference-pack/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 reference-pack

Your own site · 80×15
<a href="https://agentmods.dev/skills/cynthiajones34/gbrain/reference-pack"><img src="https://agentmods.dev/badge/skills/cynthiajones34/gbrain/reference-pack.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,013 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 100% copy Near-identical to another mod 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 $0.00031 $0.01013
Opus 5.5 $0.00012 $0.00405
Sonnet 5.5 $0.00006 $0.00203
Haiku 4.5 $0.00003 $0.00101

Measured 1mo ago against content hash e15a5cde2b58, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

reference-pack 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 1mo 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.

Origin

This is a copy

100% identical to reference-pack — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

examples/skillpack-reference/skills/reference-pack/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

reference-pack

This is the canonical reference for a third-party gbrain skillpack. Read its tree once and you know how to author one.

What this skill does

When the user asks how third-party gbrain skillpacks work, this skill points them at the four artifacts every pack ships:

  • skillpack.json — declares pack metadata + which artifacts the doctor scores (skills, unit_tests, e2e_tests, llm_evals, routing_evals, runbooks, changelog).
  • skills/<name>/SKILL.md — frontmatter (name, description, mutating, triggers) plus markdown body. Agents route on triggers:; the body is the in-context instruction set.
  • runbooks/bootstrap.md — agent-readable post-scaffold steps. gbrain DISPLAYS this after scaffold lands; the agent walks per-step at its own discretion. No auto-executor (codex T1 supply-chain hardening).
  • CHANGELOG.md — Keep-a-Changelog shape. The doctor's changelog_ present_and_current dimension fails if there's no ## [<version>] entry matching the manifest's version.

What the doctor scores

Ten binary dimensions, split into:

Core (5; must all pass to publish at any tier):

  1. manifest_valid — schema-validates skillpack.json
  2. skills_have_skill_md — every listed skill has SKILL.md with name / description / triggers
  3. routing_evals_present — each skill has routing-eval.jsonl with

    = 5 intents

  4. skills_have_unique_triggers — MECE at the pack level
  5. changelog_present_and_current — CHANGELOG entry for current version

Quality badges (5; earn for tier eligibility):

  1. unit_tests_present — manifest.unit_tests matches >= 1 file
  2. e2e_tests_present — manifest.e2e_tests matches >= 1 file
  3. llm_eval_present — *.judge.json with >= 3 cases
  4. bootstrap_runbook_present — non-empty runbooks/bootstrap.md
  5. license_present — LICENSE / LICENSE.md / LICENSE.txt non-empty

Tier eligibility:

  • endorsed — all 10 (gates: Garry's endorsements.json overlay in the registry)
  • community — all 5 core + >= 3 of 5 badges (default tier on PR merge)
  • experimental — all 5 core + < 3 badges
  • blocked — any core fails

Read the full file on GitHub · 104 lines

Files

What ships with it

1 file 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. 1mo ago First seen · 104 lines · 31 tokens per session scan A e15a5cde2b58

Subscribe to this mod's changes

reference-pack is a skill published in the GitHub repository cynthiajones34/GBrain (0 stars, last pushed 2mo ago), licensed MIT. It adds 31 tokens to every session and 1,013 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to reference-pack, differing in 0 lines, and is treated as a copy.

Building agentsCost Optimizationai-agentboutique-consultancygbrainhermes-agentknowledge-graph
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