agent-regress: Instructions file for Codex

AGENTS.md

agent-regress AGENTS.md is an instructions file for Codex, OpenCode from Gaurav7974/agent-regress. It costs 400 tokens per session, scanned A, original, MIT.

Repository instructions for AI coding agents working on agent-regress, a local server for testing coding agents with repeatable checks.

In plain words
What is it for?
They guide work on regression tests, deterministic checks, semantic-test handling, safe history-file updates, and cleanup of timed-out processes.
Why use it?
They give agents the project background, required commands, and rules that prevent them from breaking important test and file-handling behavior.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md.

This is Gaurav7974/agent-regress's own configuration. It tells Codex and OpenCode how to work on agent-regress itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agent-regress configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Gaurav7974/agent-regress. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Gaurav7974/agent-regress/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/Gaurav7974/agent-regress

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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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.

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Per session 400 This file is loaded in full into every session.
When invoked 400 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00400 $0.00400
Opus 5.5 $0.00160 $0.00160
Sonnet 5.5 $0.00080 $0.00080
Haiku 4.5 $0.00040 $0.00040

Measured 2mo ago against content hash d4cd23a35e17, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agent-regress AGENTS.md 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 2mo 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.

AGENTS.md · 26 lines

What it actually says

AGENTS.md

Repository Context

This file serves as a system prompt and context guide for any AI coding agents that open this repository.

Project: agent-regress - A local MCP server that provides tools to run regression tests against AI coding agents using deterministic code checks.

Key Directives

  1. Semantic Evaluation is Deferred: The current architecture intentionally defers semantic evaluation (AI-judged tests) until post-MVP. If an eval specifies pass_criteria.type: "semantic", the execute_eval tool must return a hardcoded SKIPPED_SEMANTIC_MVP status. Do not attempt to implement semantic evaluation logic.
  2. Deterministic Checks Only: All evaluations must rely solely on standard deterministic criteria (regex, JSON schema, exit code, exact match). Do not use AI to judge tests.
  3. Atomic File Operations: The .eval_history/manifest.json file uses a temporary file write and a retry-based rename loop to avoid race conditions with concurrent readers on Windows. Do not simplify this logic.
  4. Process Tree Cleanup: execute_eval uses taskkill /F /T on Windows and -PID process group termination on Unix to prevent orphaned subprocesses during timeouts.

Build & Test Commands

  • Install Dependencies: npm install
  • Build: npm run build
  • Run Tests:
    • npm run test:list-evals (list_evals)
    • npm run test:cli-execution (CLI execution & timeouts)
    • npm run test:http-execution (HTTP execution & schema validation)
    • npm run test:validation-and-history (Validation logic & atomic writes)
    • npm run test:diffing (Baseline & Regression diffing)
    • npm test (Run all suites)
Changes

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.

  1. 2mo ago First seen · 26 lines · 400 tokens per session scan A d4cd23a35e17

Subscribe to this mod's changes

agent-regress AGENTS.md is an instructions file published in the GitHub repository Gaurav7974/agent-regress (0 stars, last pushed 3mo ago), licensed MIT. It adds 400 tokens to every session, about $0.0016 per session on Opus 5.5. 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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