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 Deepank308/hermes-swe-agent --skill simple-questiongit clone --depth 1 https://github.com/Deepank308/hermes-swe-agentWrote 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/deepank308/hermes-swe-agent/simple-question)<a href="https://agentmods.dev/skills/deepank308/hermes-swe-agent/simple-question"><img src="https://agentmods.dev/badge/skills/deepank308/hermes-swe-agent/simple-question/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/deepank308/hermes-swe-agent/simple-question"><img src="https://agentmods.dev/badge/skills/deepank308/hermes-swe-agent/simple-question.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00030 | $0.00253 |
| Opus 5.5 | $0.00012 | $0.00101 |
| Sonnet 5.5 | $0.00006 | $0.00051 |
| Haiku 4.5 | $0.00003 | $0.00025 |
Grade A, and why
simple-question 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 1mo 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
Simple Question Workflow
Use this workflow for questions, clarifications, and information requests.
Important: This workflow does NOT create branches, commits, or PRs. Do NOT modify any files.
Phase 1: Investigate
- Read the ticket to understand exactly what is being asked.
- Search the codebase for relevant code, configurations, and documentation.
- Use MCP tools if needed for deeper investigation:
- Sentry (via
ToolSearch "+sentry") for error details and trends. - Metabase (via
ToolSearch "+metabase") for data queries. - Database MCP tools for direct database queries.
- Sentry (via
- Gather enough context to give a thorough, accurate answer.
Phase 2: Answer
Output a clear, well-structured answer:
- Answer the question directly upfront.
- Include supporting evidence: code snippets, file paths (with line numbers), config values.
- Use Linear-compatible markdown for formatting.
- If the question reveals a bug or needed improvement, note it and suggest creating a separate ticket.
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.
- 1mo ago First seen · 30 lines · 30 tokens per session scan A a8a3c1076996
simple-question is a skill published in the GitHub repository Deepank308/hermes-swe-agent (12 stars, last pushed 6mo ago), licensed MIT. It adds 30 tokens to every session and 253 once invoked, about $0.0001 per session on Opus 5.5. 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 skills, from other repositories
Autonomous Agent Testing
Testing patterns for autonomous AI coding agents like Devin and SWE-Agent including task verification, output validation, sandboxed execution, regression testing for agent behavior, and safety guardrails for autonomous code generation.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…