Borrowing it
Nothing to install: this file belongs to arbazkhan971/godmode. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/arbazkhan971/godmode/master/AGENTS.mdgit clone --depth 1 https://github.com/arbazkhan971/godmodeWrote 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/instructions/arbazkhan971/godmode/agents-md)<a href="https://agentmods.dev/instructions/arbazkhan971/godmode/agents-md"><img src="https://agentmods.dev/badge/instructions/arbazkhan971/godmode/agents-md/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/instructions/arbazkhan971/godmode/agents-md"><img src="https://agentmods.dev/badge/instructions/arbazkhan971/godmode/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.06480 | $0.06480 |
| Opus 5.5 | $0.02592 | $0.02592 |
| Sonnet 5.5 | $0.01296 | $0.01296 |
| Haiku 4.5 | $0.00648 | $0.00648 |
Grade A, and why
godmode 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 1mo 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 — 478 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Godmode for AI Coding Agents
Godmode is a skill plugin with 135 specialized skills and 7 subagents that turn AI coding agents into disciplined engineers. Every change is measured, every bad change is reverted, and every experiment is committed.
Core Workflow: The Godmode Loop
THINK --> BUILD --> OPTIMIZE --> SHIP
- THINK — Design first. Explore options, write a spec, pick an approach.
- BUILD — TDD: write tests first, implement second, review third.
- OPTIMIZE — Autonomous iteration loop: measure, hypothesize, modify, verify. Keep what improves, revert what doesn't.
- SHIP — Preflight checks (tests, lint, security, types), deploy, monitor, verify.
Key Principles
- Mechanical verification over vibes. Every claim must be backed by evidence: test output, benchmark numbers, or tool results. Never say "looks good" — prove it.
- Git-as-memory. Every experiment gets its own commit. Successful changes are kept. Failed changes are reverted. The git log is the audit trail.
- Atomic changes. One logical change per commit. Small, reviewable, reversible.
- Automatic rollback. If a change makes things worse (tests fail, performance degrades, errors increase), revert it immediately. No exceptions.
Authoring Discipline
The execution-discipline principles above govern how changes are verified and kept. A complementary authoring-discipline layer governs what gets written in the first place — read skills/principles/SKILL.md before the first Edit on any task that changes behavior.
- Think Before Coding. State assumptions in one line. If multiple interpretations exist, present them and emit
NEEDS_CONTEXT— do NOT pick silently. - Simplicity First. Run the pre-MODIFY checklist: inline single-use helpers, delete impossible-case error handlers, reject unrequested configurability. Catch complexity before it is written.
- Surgical Changes. Every semantically changed line must trace directly to the user's request. Adjacent-code "improvements," formatting churn, and deletions of pre-existing dead code are
scope_drift— discard. - Goal-Driven Execution. Replace subjective criteria ("works well," "looks good," "is faster") with a shell command that exits zero.
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.
- 1mo ago First seen · 478 lines · 6,480 tokens per session scan A b43e8d121762
godmode AGENTS.md is an instructions file published in the GitHub repository arbazkhan971/godmode (26 stars, last pushed 1mo ago), licensed MIT. It adds 6,480 tokens to every session, about $0.0259 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 2026-08-30.
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