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.
npx agentmods add skills/cynthiajones34/gbrain/reference-packnpx skills add cynthiajones34/GBrain --skill reference-packgit clone --depth 1 https://github.com/cynthiajones34/GBrainWrote 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.
[](https://agentmods.dev/skills/cynthiajones34/gbrain/reference-pack)<a href="https://agentmods.dev/skills/cynthiajones34/gbrain/reference-pack"><img src="https://agentmods.dev/badge/skills/cynthiajones34/gbrain/reference-pack.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00031 | $0.01013 |
| Opus 5 | $0.00015 | $0.00507 |
| Sonnet 5 | $0.00006 | $0.00203 |
| Haiku 4.5 | $0.00003 | $0.00101 |
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 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.
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.
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 ontriggers:; the body is the in-context instruction set.runbooks/bootstrap.md— agent-readable post-scaffold steps. gbrain DISPLAYS this afterscaffoldlands; 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'schangelog_ present_and_currentdimension fails if there's no## [<version>]entry matching the manifest'sversion.
What the doctor scores
Ten binary dimensions, split into:
Core (5; must all pass to publish at any tier):
manifest_valid— schema-validates skillpack.jsonskills_have_skill_md— every listed skill has SKILL.md with name / description / triggersrouting_evals_present— each skill has routing-eval.jsonl with= 5 intents
skills_have_unique_triggers— MECE at the pack levelchangelog_present_and_current— CHANGELOG entry for current version
Quality badges (5; earn for tier eligibility):
unit_tests_present— manifest.unit_tests matches >= 1 filee2e_tests_present— manifest.e2e_tests matches >= 1 filellm_eval_present—*.judge.jsonwith >= 3 casesbootstrap_runbook_present— non-empty runbooks/bootstrap.mdlicense_present— LICENSE / LICENSE.md / LICENSE.txt non-empty
Tier eligibility:
endorsed— all 10 (gates: Garry'sendorsements.jsonoverlay in the registry)community— all 5 core + >= 3 of 5 badges (default tier on PR merge)experimental— all 5 core + < 3 badgesblocked— any core fails
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.
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.
- 3d ago First seen · 104 lines · 31 tokens per session scan A e15a5cde2b58
reference-pack is a skill published in the GitHub repository cynthiajones34/GBrain (0 stars, last pushed 27d ago), licensed MIT. It adds 31 tokens to every session and 1,013 once invoked, about $0.0002 per session on Opus 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.
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