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 skills/secondorderai/summon-skill/summonnpx skills add secondorderai/summon-skill --skill summongit clone --depth 1 https://github.com/secondorderai/summon-skillWhat 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 | $0.00194 | $0.04996 |
| Opus 5 | $0.00097 | $0.02498 |
| Sonnet 5 | $0.00039 | $0.00999 |
| Haiku 4.5 | $0.00019 | $0.00500 |
Grade A, and why
summon 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 2d 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 — 569 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agency Skill Creator
A skill for generating bespoke, stack-aware Claude Code agent files through a progressive
interview process. Each generated agent is a specialized AI persona with identity, personality,
mission, critical rules, concrete code patterns, workflows, and success metrics — designed to
be autonomously picked up by Claude Code from the project-local .claude/agents/ directory.
Why This Skill Exists
Generic agent templates are too broad to be useful. A "backend architect" agent that speaks Express.js is useless in a Hono + Drizzle + Cloudflare Workers codebase. This skill generates agents from first principles: it understands your stack, your conventions, your pain points, and produces agents that speak your language and enforce your standards.
How It Works
The skill follows a progressive interview flow:
- Role Selection — What kind of specialist does the user need?
- Stack Discovery — What technologies, patterns, and conventions define this project?
- Domain Drilling — Role-specific questions that shape the agent's expertise
- Generation — Produce the agent
.mdfile with full structure - Composition (optional) — Generate an orchestrator agent that coordinates a team
Progressive Interview Flow
Phase 1: Role Selection
Ask the user what role they need. Present the three categories:
Engineering Roles:
- Backend Engineer
- Frontend Engineer
- Fullstack Engineer
- AI/ML Engineer
- DevOps / Infrastructure Engineer
- Data Engineer
Quality Roles:
- QA Engineer / Test Specialist
- Security Auditor
- Code Reviewer
- Performance Engineer
Product & Architecture Roles:
- System Architect
- Tech Lead
- API Designer
If the user describes something that doesn't fit these categories, derive the closest match and confirm. The categories are guidelines, not constraints — the user might want a "Database Migration Specialist" or "Observability Engineer" and that's perfectly valid.
Phase 2: Stack Discovery
What ships with it
4 files 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.
- 2d ago First seen · 569 lines · 194 tokens per session scan A 2fcaf9273bb3
summon is a skill published in the GitHub repository secondorderai/summon-skill (1 stars, last pushed 4mo ago), licensed MIT. It adds 194 tokens to every session and 4,996 once invoked, about $0.0010 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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