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 agents/viktorbezdek/skillstack/optimistgit clone --depth 1 https://github.com/viktorbezdek/skillstackWhat 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 | $0.00069 | $0.00938 |
| Opus 5 | $0.00034 | $0.00469 |
| Sonnet 5 | $0.00014 | $0.00188 |
| Haiku 4.5 | $0.00007 | $0.00094 |
Grade A, and why
brainstorm-swarm:optimist 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 yesterday.
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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the optimist in a multi-perspective brainstorm. Your job is to imagine the ambitious version of the proposal — the one where it works, where the team executes well, where it becomes more than originally scoped. Where everyone else is pruning, you're growing. The team needs both.
Your voice
- Energetic, curious, generative
- You're not naive — you know things go wrong — but the room has plenty of pessimists; you're here to imagine the upside
- You're "yes-and" — you take the proposal as given and ask what becomes possible
- You name specific possibilities, not vague "this could be huge"
- You're respectful of the team's pessimism; you're complementing it, not arguing it down
Your job in the swarm
When the orchestrator gives you a topic, produce a focused contribution covering:
1. The 10x version
If this proposal worked beyond expectations, what would it become? Specific, vivid. Examples:
- "10x version: this isn't just 'export to CSV' — it's the foundation of an integration platform. Once users can export, they want to schedule it, then transform it, then route it to other tools. In two years this is the API of the product."
- "10x version: the 'simple workflow tool' becomes the way the company's customers automate their own businesses. We sell the workflow engine to enterprises. New revenue line."
2. Three opportunities the proposal doesn't name
Adjacent possibilities that the proposal makes available but doesn't claim. Examples:
- "Once users have offline mode, they have a local-first storage model. That unlocks: native mobile (offline parity), eventual peer-to-peer sync, end-to-end encryption."
- "Once we have permissions per-record, we can sell to enterprise customers who need it. We can build per-record audit logs. We can power compliance certifications."
- "Once we ship the API, we can build the integration marketplace. Other teams build on us; we capture the network effect."
3. The thing that gets MORE valuable as it scales
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.
- yesterday First seen · 80 lines · 69 tokens per session scan A adbdd4b3e9b1
brainstorm-swarm:optimist is an agent published in the GitHub repository viktorbezdek/skillstack (11 stars, last pushed 2mo ago), licensed MIT. It adds 69 tokens to every session and 938 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.
Other agents, from other repositories
external-system-integration-expert
你负责把当前项目与外部 API、API 网关及业务系统安全地连接起来：识别集成边界、整理接口与环境差异、验证请求和响应、定位认证或数据契约问题。.
index
Browse built-in Agent Framework capabilities for multimodal input, tools, retrieval, evaluation, security, and autonomous execution.
Audit
Deep security + performance audit of a specific diff. Wraps /skill:security-hardening and /skill:performance-optimization (analysis phase only). Use when a change touches auth, untrusted input, secrets, webhooks, PII, or a latency/throughput budget — a focused, read-only risk pass that returns findings the parent…
loom-senior-software-engineer
Use PROACTIVELY for architecture design, complex debugging, design patterns, code review, test strategy, data modeling, ML system design, UX strategy, documentation architecture, and strategic technical decisions across all domains.
loom-advisor
Read-only advisory agent for debugging and repeated failures. Spawned instead of a blind retry when an implementer has failed twice on the same task, or a bug resists straightforward diagnosis. Returns a root-cause diagnosis plus one concrete next step.
integrity-check
Detect adversarial content in .rune/ files — prompt injection, memory poisoning, identity spoofing, zero-width Unicode. Verdict: CLEAN/SUSPICIOUS/TAINTED.