using-agentit

Governs just-in-time skill selection, verification, and honest reporting for material agent work.

3|Updated Jul 28, 2026
One-click install
npx skills add https://github.com/marcmarti9/agentit --skill using-agentit-marcmarti9
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: using-agentit
Source: https://github.com/marcmarti9/agentit/tree/main/skills/using-agentit
Command: npx skills add https://github.com/marcmarti9/agentit --skill using-agentit-marcmarti9

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Capable coding agents often load too much context, inherit stale skill selections, or claim outcomes they never verified. This Skill defines the entry contract for material work: decide per task whether to engage the Agentit workflow, select only the expertise needed just in time, and report results strictly against observed evidence. ## Core Features & Use Cases - Dispatch and context lifecycle: Makes a fresh DISPATCH_DECISION: bare | agentit per session, keeping trivial work direct while routing material work through the Agentit core without inheriting stale selections. - Material execution protocol: Coordinates task-router execution modes, JIT skill body delivery, schema-3 worker delegation, and review-branch publishing with real tool permissions. - Evidence-bound verification: Distinguishes command-bound Loop/Graph evidence (exit status, output digests, timestamps) from self-reported observations, and forbids claims like "done", "secure", or "independent" beyond what was observed. - Use Case: An agent asked to refactor a payment module uses this contract to select only relevant domain skills, delegate bounded context to a worker, run a command-bound verification loop, and open a review branch while honestly reporting that no independent model review occurred. ## Quick Start Ask your agent to install Agentit for this environment and use it automatically for all material work going forward.

Frequently Asked Questions about using-agentit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I install Agentit for my coding agent?▼

Run python3 bootstrap.py with your provider flag, such as --provider claude, codex, grok, gemini, or antigravity, then add --apply after inspecting the plan. The bootstrap supports macOS and GNU/Linux and produces verified, reversible installation state.

When should an agent choose bare versus agentit dispatch?▼

Choose bare for trivial conversation or obvious negligible-risk actions, and Agentit for material work or explicit requests. Every new session is semantically cold, so the decision is made fresh and never inherited from installed profiles or old receipts.

Does deselecting a skill erase it from the agent's context?▼

No. Semantic coldness is not context erasure; a body already read may remain in the host conversation. Fresh isolation requires an actual new host session or worker with bounded input, otherwise retained context must be reported.

How does Agentit verify that a task actually succeeded?▼

A command-bound loop executes the exact approved argument vector and records exit status, output digest, and timestamps. Manual or external observations remain reported rather than command-verified, and no success claim is made beyond observed evidence.

What are the limitations of Agentit's reliability layer?▼

Agentit does not replace host safety, tool authorization, or model judgment, and capability envelopes do not enforce OS or provider permissions. Delivery receipts record content delivery, not model attention, comprehension, or compliance.