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 skills add jscraik/Agent-Skills --skill talk-stoneham-product-braingit clone --depth 1 https://github.com/jscraik/Agent-SkillsWrote 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/jscraik/agent-skills/talk-stoneham-product-brain)<a href="https://agentmods.dev/skills/jscraik/agent-skills/talk-stoneham-product-brain"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/talk-stoneham-product-brain/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.
<a href="https://agentmods.dev/skills/jscraik/agent-skills/talk-stoneham-product-brain"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/talk-stoneham-product-brain.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00072 | $0.00605 |
| Opus 5.5 | $0.00029 | $0.00242 |
| Sonnet 5.5 | $0.00014 | $0.00121 |
| Haiku 4.5 | $0.00007 | $0.00060 |
Grade A, and why
talk-stoneham-product-brain 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.
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Brain
A product brain is a maintained product knowledge system that helps agents and humans reason from curated context instead of scattered memory.
Read Order
- Use
outline.mdfor the talk thesis, concept map, and safe application boundaries. - Use
quote.mdwhen the answer needs a short supporting excerpt. - Use
transcript.mdonly to confirm what remained after safety redaction. - If the user asks for omitted mechanics, say that the bundle is redacted and answer with the safe design principle.
What This Skill Produces
- product-brain map
- curation checklist
- context packet template
- ownership model
Core Workflow
When answering a factual question:
- Identify the relevant concept from
outline.md. - Answer in 2-5 sentences.
- Add one short excerpt from
quote.mdonly if it strengthens the answer. - State when the bundle does not cover a requested detail.
When applying the talk to the user's work:
- Choose a small set of curated knowledge categories.
- Record provenance and owner for each category.
- Define when synthesis happens and who reviews it.
- Create agent-ready packets with goals, constraints, and decisions.
- Avoid direct intake mechanics; keep the design static and reviewable.
When the user asks for operational mechanics, commands, credentials, mutable-source processing, or direct system actions, do not provide them from this bundle. Give the design-level alternative instead.
Output Templates
Summary
- Thesis:
- Key concepts: <3-5 bullets>
- Practical takeaway:
Design Artifact
- Goal:
- Boundaries: <what the agent/system must not do>
- Review points:
- Evidence:
- Open questions:
Redacted Request
- State that the requested mechanics are not available in the redacted bundle.
- Explain the risk in neutral terms.
- Provide a safe checklist or conceptual design instead.
What ships with it
4 files 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.
- 1mo ago First seen · 77 lines · 72 tokens per session scan A ba4d7b85a4cb
talk-stoneham-product-brain is a skill published in the GitHub repository jscraik/Agent-Skills (9 stars, last pushed yesterday), licensed Apache-2.0. It adds 72 tokens to every session and 605 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
knowledge-curation
Context priming before work (bd prime) and self-reflection after completion to extract patterns, gotchas, and decisions into the knowledge base.
team-summary
Creates and maintains TEAMSUMMARY.md (or TEAMLOG.md) to track individualized work summaries for each team member or AI agent persona. Gives every contributor their own persistent section with recent accomplishments, modified files, active focus, and blockers without overwriting other members' logs.
swarm-init
Start a new project connected to the SwarmVault — register it, wire platform adapters, offer git init, set vault-as-default. Use when starting a new project, connecting a project to the vault, or when the user asks to set up SwarmVault in a directory.
swarm-migrate
Bring existing projects into the SwarmVault — register, mirror docs, optionally mine the repo into SDLC artifacts and resume the flow mid-phase (brownfield adoption). Use when the user wants existing projects migrated/connected to the vault, or an existing codebase placed into the SDLC flow.
update-briefs
Updates the briefs/ shared memory directory after a sprint completes. Reads sprint outputs and writes structured summaries for other agents. Use after any sprint completes, or when the user says "update briefs", "sync state", "update project state", or "what changed". Also use automatically after /capture-lessons or…
swarm-eject
Disconnect a project from SwarmVault and choose what happens to its knowledge — keep it, export it into the repo, or delete it. Use when the user wants to stop using SwarmVault here, remove the vault wiring, uninstall the framework from a project, offboard or archive a project, or delete a project's vault data.