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 BloomLabsInc/agent-skills --skill bloomgit clone --depth 1 https://github.com/BloomLabsInc/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/bloomlabsinc/agent-skills/bloom)<a href="https://agentmods.dev/skills/bloomlabsinc/agent-skills/bloom"><img src="https://agentmods.dev/badge/skills/bloomlabsinc/agent-skills/bloom.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 5.1 | $0.00045 | $0.00445 |
| Opus 5 | $0.00023 | $0.00222 |
| Sonnet 5 | $0.00009 | $0.00089 |
| Haiku 4.5 | $0.00005 | $0.00044 |
Grade A, and why
bloom 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 7d 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.
What it actually says
Bloom
Bloom is a canvas of live React frames backed by a full app (a sandbox codebase + Convex backend). You reach it through the Bloom MCP (or the bloom CLI). Two things are true and easy to get wrong:
- Frames are not your repo. Canvas frames live at
@bloom-frame/<uuid>and are React TSX rendered on the canvas.@/<path>is the Bloom project's sandbox, not the repo your editor has open. - You don't write the plan in prose — you build it as a frame. Designing and planning happen on the canvas.
Orient first
Before any read/write, ground yourself with three calls (details in bloom-mcp):
whoami— token works? what can it reach?list_projects→list_branches→list_canvas_pages— pick the project, branch, and page you're working in.
If a step returns nothing or errors, stop and fix access before writing — don't guess IDs.
Which skill
- Calling MCP tools (
write_files,edit_files,code_search,trigger_agent, …) →bloom-mcp: the tool model, guardrails, and the full catalog. - Planning a feature or iterating on a design →
bloom-visual-planning: build the plan as a canvas frame and iterate visually with the user.
Install these skills
bunx skills add BloomLabsInc/agent-skills
Cross-agent (Claude Code, Cursor, Codex, …). The bloom CLI runs this for you on bloom init.
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.
- 7d ago First seen · 33 lines · 45 tokens per session scan A 09db32796c04
bloom is a skill published in the GitHub repository BloomLabsInc/agent-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 45 tokens to every session and 445 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.
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