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oh-my-ai/agent-init

Creates, updates, or prunes an AGENTS.md for any repository by auditing the codebase, detecting non-discoverable gaps, and drafting minimal high-signal instructions that agents cannot infer from reading the code.

90

1.06x
Quality

94%

Does it follow best practices?

Impact

78%

1.06x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Overview
Quality
Evals
Security
Files

Evaluation results

80%

8%

Set Up Agent Instructions for Orbital API

Discoverability filter and audit trail

Criteria
Without context
With context

Exact heading structure

0%

75%

Scope statement present

0%

0%

CI flag documented

100%

100%

Undocumented env var documented

100%

100%

Deprecated module status documented

100%

100%

No tech stack content

80%

100%

No directory overview

100%

100%

No linter duplication

100%

100%

Package manager mismatch documented

100%

100%

Audit trail file created

100%

100%

Correct section headings used

0%

0%

85%

Refresh Agent Instructions for Proxima Backend

Incremental AGENTS.md update with pruning

Criteria
Without context
With context

Changes summary file created

100%

100%

Removals documented with reasons

100%

100%

Tech stack section removed

100%

100%

Stale command removed

100%

100%

Generic advice removed

100%

100%

Non-discoverable content preserved

100%

100%

New finding added

0%

0%

Correct heading structure maintained

50%

50%

Redundant directory overview removed

100%

100%

Tooling-enforced rules not duplicated

100%

100%

70%

8%

Set Up Agent Instructions for FinStack Monorepo

Monorepo hierarchical AGENTS.md and targeted questions

Criteria
Without context
With context

Hierarchical structure recommended

50%

41%

No monolithic file for all modules

100%

100%

No generic discoverable questions

80%

100%

Targeted ambiguity question asked

41%

66%

Question count within limit

0%

0%

CI vs local difference documented

100%

100%

Do-not-touch constraint documented

100%

100%

No tech stack summaries in output

37%

62%

Scope statement present

0%

0%

Audit trail created

83%

100%

Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

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