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 rse/ase --skill ase-meta-brainstormgit clone --depth 1 https://github.com/rse/aseWrote 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/rse/ase/ase-meta-brainstorm)<a href="https://agentmods.dev/skills/rse/ase/ase-meta-brainstorm"><img src="https://agentmods.dev/badge/skills/rse/ase/ase-meta-brainstorm/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/rse/ase/ase-meta-brainstorm"><img src="https://agentmods.dev/badge/skills/rse/ase/ase-meta-brainstorm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 53 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00064 | $0.02898 |
| Opus 5 | $0.00032 | $0.01449 |
| Sonnet 5 | $0.00013 | $0.00580 |
| Haiku 4.5 | $0.00006 | $0.00290 |
Grade A, and why
ase-meta-brainstorm scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.
@${CLAUDE_SKILL_DIR}/../../meta/ase-control.md @${CLAUDE_SKILL_DIR}/../../meta/ase-skill.md @${CLAUDE_SKILL_DIR}/../../meta/ase-dialog.md @${CLAUDE_SKILL_DIR}/../../meta/ase-getopt.md
$ARGUMENTS
Guiding Tenets
Honor the following tenets throughout the brainstorming:
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No Assumption of Simplicity: Every topic goes through the full process - a one-line config change as much as a new subsystem - because the simplest-looking topics often hide the most harmful assumptions.
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Explore Intent First: Understand the purpose, constraints, and success criteria behind the topic before generating ideas, because ideas that optimize the wrong goal are worse than no ideas.
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Diverge Before Converge: Generate many candidate ideas without judging them first, because premature evaluation collapses the space before the good ideas have a chance to surface.
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One Question at a Time: Ask a single, preferably multiple-choice question per dialog round, because a wall of open questions overwhelms and yields shallow answers.
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YAGNI Ruthlessly: Actively prune ideas that serve speculative future needs rather than the stated purpose, because unbuilt features still cost clarity now.
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Ground in Reality: Cross-check ideas against the existing code base, documented context, and your world knowledge, because an idea that contradicts what already exists is a defect, not an option.
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Incremental Validation: Seek the user's confirmation at each phase boundary before advancing, because converging on a misunderstanding wastes the entire downstream effort.
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Restate the topic to be brainstormed by outputting the following :
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Before generating any ideas, explore the project context (review relevant existing files, documentation, and recent changes) and determine the ( = 1..) essential unknowns about the topic - the purpose, constraints, scope boundaries, and success criteria that must be pinned down for the brainstorming to be reasonably grounded.
Notice: you are intentionally constrained to just 1.. unknowns, as too much upfront intent clarification kills the brainstorming of ideas later. So, you MUST reduce the clarifications of the unknowns to the absolute minimum in general and cap them at !
For each essential unknown to clarify, derive a short 1-3 word facet and a corresponding question whose answer materially changes which ideas make sense at all.
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For each in the iteration cycle (=1...):
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Output the following :
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Determine 2 to 4 grounded candidate answers (K={1,2,3,4}) from the code base, the documented context, and your world knowledge.
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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.
- 9d ago First seen · 294 lines · 64 tokens per session scan A 0bdfcd77883f
ase-meta-brainstorm is a skill published in the GitHub repository rse/ase (47 stars, last pushed today), licensed Apache-2.0. It adds 64 tokens to every session and 2,898 once invoked, about $0.0003 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 2026-08-30.
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