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/forgeyclap/claude-forge/forge-projectbrainnpx skills add ForgeyClap/claude-forge --skill forge-projectbraingit clone --depth 1 https://github.com/ForgeyClap/claude-forgeWrote 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/forgeyclap/claude-forge/forge-projectbrain)<a href="https://agentmods.dev/skills/forgeyclap/claude-forge/forge-projectbrain"><img src="https://agentmods.dev/badge/skills/forgeyclap/claude-forge/forge-projectbrain.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 | $0.00046 | $0.02592 |
| Opus 5 | $0.00023 | $0.01296 |
| Sonnet 5 | $0.00009 | $0.00518 |
| Haiku 4.5 | $0.00005 | $0.00259 |
Grade A, and why
forge-projectbrain 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 4d 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Forge playbook — top-tier project-CLAUDE.md generation
Why this exists
A thin CLAUDE.md that is just a bullet list of file paths gives an agent no real leverage — it doesn't say
what the project actually IS, which of the owner's global rulesets actually apply here, or which rules are
non-negotiable. Deep research on Anthropic's own published best practices (code.claude.com/docs/best-practices,
the Agent Skills docs, and independent 2026 field guides) converges on the same verdict: the worst CLAUDE.md
files aren't empty, they're thorough ones — bloat dilutes the rules that matter until Claude quietly stops
following them. The gold-standard shape (proven in the AutoWeb project, now formalized against that research)
is a real PROJECT BRAIN: a tight five-part core (description, stack+versions, exact commands, architecture,
conventions) + boundaries + pointers to detail docs, environment rules ADAPTED to the project's real tooling,
universal anti-generic guardrails kept verbatim, a real Hard Rules section, and Governance. This skill is the
repeatable METHOD for producing that shape for any Forge project; forge-bin/forge-projectbrain.cjs automates it.
The research this method is built on (cite before you deviate)
- The five-part core framework: (1) one-line project description, (2) tech stack with versions, (3) EXACT build/test/lint/run/deploy commands, (4) architecture as 3-5 key dirs with file:line-style pointers (never prose describing a "typical" layout), (5) conventions a linter can't enforce. Plus boundaries/off-limits dirs and pointers to detail docs.
- The prune test (official Anthropic guidance): for every line, ask "would removing this cause Claude to make mistakes? If not, cut it." A bloated CLAUDE.md causes Claude to ignore the instructions that actually matter — conciseness is not a nice-to-have, it is the mechanism that keeps the file effective.
- EXCLUDE, always: anything derivable from the code itself, standard conventions Claude already knows, file-by-file listings, pasted code blocks, frequently-changing information, and "obvious advice" filler ("write clean code", "follow best practices"). None of these belong in a generated CLAUDE.md.
- Imperative language, not hedging: "Never commit
.env" beats "we generally prefer not to commit .env". - Emphasis discipline: reserve IMPORTANT/YOU-MUST-style emphasis for the 1-2 truly critical rules (honesty, project-isolation) — emphasizing everything is the same as emphasizing nothing.
- A practical line budget (guidance, not a hard gate): keep the generated document in the neighborhood of ~150-200 lines for a typical project. The verbatim anti-generic guardrails block for website-flavored projects is a deliberate, documented exception to that budget (see step 3) — verbatim reuse there is a strength, not bloat, because it is the SAME trusted rule every project quotes.
- KEY INSIGHT — skills/docs are NOT reliably auto-invoked. Independent evals (Vercel) measured a 56% non-invocation rate for progressive-disclosure Skills matched only by a vague trigger description. A Hard Rule or an environment-ruleset line is not a Skill — it is always-loaded text — so every rule this generator emits must be a sharp, explicit, self-contained imperative ("Apply the frontend-design method before writing ANY frontend code"), never a bare pointer like "see the frontend-design skill for guardrails." When a real Skill genuinely needs to be referenced, name WHEN it triggers, not just that it exists.
@-imports buy organization, not context budget. An@pathreference inside CLAUDE.md loads automatically alongside it at session start (unlike a Skill) — so the generated "Detail docs" pointers are honest about that: they are real, but they are not a free lunch, and each imported doc should stay focused.
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.
- 4d ago First seen · 127 lines · 46 tokens per session scan A e36ad539f463
forge-projectbrain is a skill published in the GitHub repository ForgeyClap/claude-forge (2 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 2,592 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
frame-macos-notification
拟真 macOS 通知 banner + app icon + 标题正文, 适合 video overlay / 产品发布预告.
deck-course-module
暖纸背景 + Playfair, 左侧学习目标常驻, 含 MCQ 自测页.
deck-pitch
10 页融资 deck, 白底 + 蓝紫渐变 hero, traction 柱状, $X.XM ask.
argent-tv-interact
Control and inspect TV apps via argent — Apple TV (tvOS), Android TV (leanback), and Amazon Fire TV (Vega). Boot the target, read focus, navigate with the D-pad remote, type, screenshot, and on Vega debug the JS runtime (evaluate, console logs, network inspector). Use when a task targets a TV (runtimeKind "tv", or…
review-offered-task
Review a task that has been offered to you and decide whether to accept or reject it.
aidd-dev:08:for-sure
Iterative agent loop that tracks attempts and retries until a success condition is met. Use when the user says "for sure", "make sure", "keep trying until", "loop until done", "don't stop until", or needs guaranteed completion of a task with explicit success criteria.