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/abilityai/trinity/agent-configurationgit clone --depth 1 https://github.com/Abilityai/trinityWhat 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 | $0.00000 | $0.01870 |
| Opus 5 | $0.00000 | $0.00935 |
| Sonnet 5 | $0.00000 | $0.00374 |
| Haiku 4.5 | $0.00000 | $0.00187 |
Grade A, and why
agent-configuration 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Configuration
Per-agent settings for autonomy, read-only mode, resources, capabilities, execution timeout, reliability, and runtime.
How It Works
Each agent has independent configuration options that control its behavior, resource usage, and execution constraints. Settings are managed through the Agent Detail page or the API.
The Settings Tab
The Agent Detail page has a Settings tab (visible to owners only) -- a sectioned home for per-agent configuration. Current sections: Guardrails (see Agent Guardrails), Parallel Capacity (below), and Expose via MCP (publish the agent as a dedicated MCP tool — see MCP Server). The remaining settings below are managed from the agent header controls, toggles on the Dashboard and Agents pages, or the API.
Parallel Capacity
How many tasks the agent may run concurrently (max_parallel_tasks, default 3). Work beyond the limit queues and drains as slots free up.
- Set it in the Settings tab's Parallel Capacity section; the panel shows current slot usage ("using X / Y slots").
- Fleet ceiling (admin): an admin caps the whole fleet via
GET/PUT /api/settings/max-parallel-tasks-ceiling(default 10, range 1–32). Owners pick any value up to the ceiling. If an agent's stored value exceeds a later-lowered ceiling, the stored value is kept but the effective limit is clamped to the ceiling — the panel shows a notice when this applies. - API:
GET /api/agents/{name}/capacityreturns the stored value, the ceiling, and the effective limit.
Autonomy Mode
Master gate for the agent's scheduled operations.
- Toggle from the Dashboard, Agents page, or Agent Detail view
- When disabled, none of the agent's schedules fire
- The toggle does not change each schedule's own on/off switch: a schedule you disabled stays disabled when you turn autonomy back on, and one you left enabled resumes automatically
- API:
GET /api/agents/{name}/autonomyandPUT /api/agents/{name}/autonomy
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 · 120 lines · 0 tokens per session scan A 1c6ef0de81f9
agent-configuration is an agent published in the GitHub repository Abilityai/trinity (496 stars, last pushed 4d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,870 tokens. 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
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.