Aegis is a method pack that guides coding agents to inspect a project's baseline, make bounded changes, and verify their work with fresh evidence. It is for people using coding-agent hosts who want fewer unverified changes and less unnecessary process. The catalogue add-ons implement this method through skills, instructions, commands, a hook, and a plugin.
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 GanyuanRan/Aegis --skill brainstorminggit clone --depth 1 https://github.com/GanyuanRan/AegisWrote 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/ganyuanran/aegis/brainstorming)<a href="https://agentmods.dev/skills/ganyuanran/aegis/brainstorming"><img src="https://agentmods.dev/badge/skills/ganyuanran/aegis/brainstorming/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/ganyuanran/aegis/brainstorming"><img src="https://agentmods.dev/badge/skills/ganyuanran/aegis/brainstorming.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
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 →
- medium Excessive Agency · line 83 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 137 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Rogue Agent · line 168 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00049 | $0.07186 |
| Opus 5 | $0.00024 | $0.03593 |
| Sonnet 5 | $0.00010 | $0.01437 |
| Haiku 4.5 | $0.00005 | $0.00719 |
Grade A, and why
brainstorming 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 — 692 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Execute
→ Direct grilling or plan/design pressure-test? → Enter Grilling Mode below. Soft challenge intent? → Use its one-line mode confirmation. Do not start normal design artifacts, document writing, task planning, or implementation during the interview.
→ New feature, product behavior, UI/component design, architecture/contract change, or ambiguous medium/high-complexity work? → Design first. No implementation until the needed design/spec is approved.
- Explore project context → read authority docs, check for existing patterns
- Ask clarifying questions one at a time (prefer multiple choice)
- Propose 2-3 approaches with trade-offs and your recommendation
- Present design sections → get user approval after each
- Write spec → self-review → user review → transition to writing-plans → HARD GATE: For tasks that match this skill, do NOT write code, scaffold projects, or invoke implementation skills until design/spec approval is satisfied.
Route Fixtures
These rows are calibration expectations for method behavior, not a runtime regex router. The Agent selects the route from evidence; route selection is not a user question.
| Scenario | Route |
|---|---|
| 想法还没想清楚，先梳理功能设计 | normal brainstorming, compact output first |
| 讨论公共 API 契约和兼容边界 | normal brainstorming, design sections before implementation |
| 盘问/拷问/审问这个方案，不要顺着我 | Grilling Mode |
| 修复登录按钮的空指针 | systematic-debugging |
| review 当前 PR / diff / 当前代码 | requesting-code-review |
| 给我一个有目标的方案 | goal-framing when goal intent is explicit; otherwise normal brainstorming |
| 把按钮文案从保存改成提交 | fast-path; no design ceremony |
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 · 692 lines · 49 tokens per session scan A 2d68478e2120
brainstorming is a skill published in the GitHub repository GanyuanRan/Aegis (1,172 stars, last pushed yesterday), licensed MIT. It adds 49 tokens to every session and 7,186 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 2026-08-30.
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loop
Full execution protocol for MODE: LOOP — the compound-engineering loop: brainstorm → plan → build → review → improve, iterating under defense-in-depth stop conditions with generator/critic separation, durable resumable state, and mandatory compounding learning capture. Loaded on demand by the architect when the loop…
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When delegating a task affected by this skill, include.
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A reporting workflow for turning LoongSuite Pilot and AI coding-agent logs into structured reports about events, teams, data quality, development efficiency, and AI use. It defines the meaning of the log fields and the measurements used in dashboards.