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 Insajin/autopus-adk --skill agent-presetsgit clone --depth 1 https://github.com/Insajin/autopus-adkWrote 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/insajin/autopus-adk/agent-presets)<a href="https://agentmods.dev/skills/insajin/autopus-adk/agent-presets"><img src="https://agentmods.dev/badge/skills/insajin/autopus-adk/agent-presets/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/insajin/autopus-adk/agent-presets"><img src="https://agentmods.dev/badge/skills/insajin/autopus-adk/agent-presets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00012 | $0.00631 |
| Opus 5 | $0.00006 | $0.00316 |
| Sonnet 5 | $0.00002 | $0.00126 |
| Haiku 4.5 | $0.00001 | $0.00063 |
Grade A, and why
agent-presets 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 11d 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Presets Skill
Overview
Agent presets define which agents are active for a given project type. Presets allow teams to activate only the agents relevant to their domain, skipping phases that reference inactive agents and reducing unnecessary overhead.
Preset Definitions
backend-go
Optimized for Go backend services.
Active agents: executor, tester, planner, reviewer, validator, security-auditor, annotator, perf-engineer
fullstack
Includes all backend-go agents plus frontend support.
Active agents: executor, tester, planner, reviewer, validator, security-auditor, annotator, perf-engineer, frontend-specialist
cli-tool
Minimal set for CLI tools and utilities.
Active agents: executor, tester, planner, reviewer, validator, annotator
Preset Table
| Preset | Agents | Use Case |
|---|---|---|
backend-go |
executor, tester, planner, reviewer, validator, security-auditor, annotator, perf-engineer | Go microservices, APIs |
fullstack |
All backend-go + frontend-specialist | Web apps with Go backend + JS/TS frontend |
cli-tool |
executor, tester, planner, reviewer, validator, annotator | CLI utilities, scripts, SDK tools |
Configuration (autopus.yaml)
Set a preset for the project:
agent_preset: backend-go # or fullstack, cli-tool
Default Behavior
If agent_preset is not set, ALL agents are active. This is backward compatible with existing configurations that do not specify a preset.
Custom Presets
Define project-specific presets in autopus.yaml:
agent_presets:
custom:
agents:
- executor
- tester
- planner
- reviewer
- validator
Then activate with:
agent_preset: custom
Custom presets extend the built-in list. Any agent name not recognized is ignored with a warning.
Pipeline Behavior
When a preset is active, phases referencing inactive agents are skipped:
| Phase | Skipped When |
|---|---|
| Phase 2.5 (Annotation) | annotator not in preset |
| Phase 3.5 (UX Verify) | frontend-specialist not in preset |
| Security audit step | security-auditor not in preset |
| Performance check | perf-engineer not in preset |
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.
- 11d ago First seen · 95 lines · 12 tokens per session scan A e2b63d563187
agent-presets is a skill published in the GitHub repository Insajin/autopus-adk (111 stars, last pushed yesterday), licensed MIT. It adds 12 tokens to every session and 631 once invoked, about $0.0001 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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