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agenticflow-ai-skills: Instructions file for Codex

AGENTS.md

agenticflow-ai-skills AGENTS.md is an instructions file for Codex, OpenCode from antongulin/agenticflow-ai-skills. It costs 4,452 tokens per session, scanned A, original, MIT.

An AGENTS.md instruction file, a persistent set of rules that an AI coding agent reads while working in a repository.

In plain words
What is it for?
Guiding how the agent discusses decisions, handles unclear domain concepts, reviews fragile approaches, and collaborates while building or debugging software.
Why use it?
It gives the agent a consistent working style and project context, including direct communication, shared decision-making, and admitting uncertainty instead of guessing.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md; mentions Claude Code; reads ~/.codex paths.

This is antongulin/agenticflow-ai-skills's own configuration. It tells Codex and OpenCode how to work on agenticflow-ai-skills 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 agenticflow-ai-skills configures →

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /Users/antongulin/.config/opencode/learnship/skills/agentic-learning/SKILL.md.

not rated 2repo changed 1mo ago A scan 4,452 tokens original MIT
View source ↗ antongulin/agenticflow-ai-skills
Reuse

Borrowing it

Nothing to install: this file belongs to antongulin/agenticflow-ai-skills. 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/antongulin/agenticflow-ai-skills/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/antongulin/agenticflow-ai-skills

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for agenticflow-ai-skills AGENTS.md

README.md
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Your own site
<a href="https://agentmods.dev/instructions/antongulin/agenticflow-ai-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/antongulin/agenticflow-ai-skills/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.

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Your own site · 80×15
<a href="https://agentmods.dev/instructions/antongulin/agenticflow-ai-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/antongulin/agenticflow-ai-skills/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 4,452 This file is loaded in full into every session.
When invoked 4,452 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 $0.04452 $0.04452
Opus 5.5 $0.01781 $0.01781
Sonnet 5.5 $0.00890 $0.00890
Haiku 4.5 $0.00445 $0.00445

Measured 1mo ago against content hash 9d4f9d077751, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agenticflow-ai-skills 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.

AGENTS.md · 357 lines

How it starts

The opening of the file, as written. The whole thing — 357 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — AgenticFlow AI Skills

Your AI agent reads this file as a persistent system rule for every conversation in this repo. It is generated by learnship during new-project and kept live by the platform workflows. Do not delete it — update it using the provided workflows.

DOX framework

This repository follows the DOX AGENTS.md-hierarchy framework. AGENTS.md is the only canonical repository instruction source; do not add client-specific copies (CLAUDE.md, GEMINI.md, .cursorrules, or similar). Client adapters must point at this file, not fork it.

Core contract

  • Every AGENTS.md is a binding work contract for the subtree it governs.
  • Work products, source materials, instructions, records, assets, and durable docs must stay understandable from the nearest applicable AGENTS.md plus every parent AGENTS.md above it.

Read before editing

  1. Read this root AGENTS.md.
  2. Identify every file or folder you expect to touch.
  3. Walk from the repository root to each target path and read every AGENTS.md along the route.
  4. Use the nearest AGENTS.md as the local contract and parent docs for repo-wide rules.
  5. If docs conflict, the closer doc controls local details, but no child doc may weaken DOX.
  6. Do not rely on memory. Re-read the applicable chain in the current session before editing.

Update after editing

Every meaningful change requires a DOX pass before the task is done. Update the closest owning AGENTS.md when a change affects purpose, scope, ownership, durable structure, contracts, workflows, operating rules, required inputs/outputs/permissions/constraints/side effects/artifacts, or the child index. Update parents when parent-level structure or the child index changes; update children when parent changes alter local rules. Remove stale or contradictory text immediately.

Read the full file on GitHub · 357 lines

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. 1mo ago Changed · +97 lines · +1,361 tokens per session 9d4f9d077751
  2. 2mo ago First seen · 260 lines · 3,091 tokens per session scan A 7b74d51207cb

Subscribe to this mod's changes

agenticflow-ai-skills AGENTS.md is an instructions file published in the GitHub repository antongulin/agenticflow-ai-skills (2 stars, last pushed 18d ago), licensed MIT. It adds 4,452 tokens to every session, about $0.0178 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.

Related

agenticflow-ai-skills AGENTS.md compared with instructions from other repositories

agenticflow-ai-skills AGENTS.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
agenticflow-ai-skills AGENTS.mdantongulin/agenticflow-ai-skillsInstructions file218d agoMITA4,452Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143ktodayMITA7,461Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA5,516GitHub Copilot
langchain AGENTS.mdlangchain-ai/langchainInstructions file149ktodayMITA4,680Codex, OpenCode
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file275k3d agoMITA4,313Codex, OpenCode