Teamwork-MCP: Instructions file for Codex

AGENTS.md

Teamwork-MCP AGENTS.md is an instructions file for Codex, OpenCode from Activ8-AI/Teamwork-MCP. It costs 1,062 tokens per session, scanned A, original, MIT.

Repository instructions for Teamwork-MCP, including its source-of-truth documents, reporting format, and rules for planning before action.

In plain words
What is it for?
Use them when working on Teamwork-MCP and when the agent must search existing work, follow project policy, and report progress, evidence, and blockers.
Why use it?
They help an AI agent avoid unnecessary confirmation questions and prevent changes based on unverified information.

Instructions file for CodexOpenCode

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

This is Activ8-AI/Teamwork-MCP's own configuration. It tells Codex and OpenCode how to work on Teamwork-MCP 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 Teamwork-MCP configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Activ8-AI/Teamwork-MCP. 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/Activ8-AI/Teamwork-MCP/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/Activ8-AI/Teamwork-MCP

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.

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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 1,062 This file is loaded in full into every session.
When invoked 1,062 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 $0.01062 $0.01062
Opus 5.5 $0.00425 $0.00425
Sonnet 5.5 $0.00212 $0.00212
Haiku 4.5 $0.00106 $0.00106

Measured 2mo ago against content hash 95f9e65131b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Teamwork-MCP 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 · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — @vizioz/teamwork-mcp

Charter binding: Activ8 AI Operational Execution & Accountability Charter (v1.5).

Source of truth

  • Local routing map: docs/SOURCES-OF-TRUTH.md
  • Local audience + surface contract: docs/AUDIENCE-SURFACE-CONTRACT.md
  • Central canonical policy: https://github.com/Activ8-AI/activ8-ai-unified-mcp-server at .github/ai-agent-policy.md

Output contract

Progress | Evidence | Blockers

Obvious-Answer Question Elimination Rule

  • Do not ask for confirmation when the requested action is already clear.
  • Execute the next obvious step and present the result.

Seek-First Planning Gate

  • No action begins without a plan.
  • Verify in order: Notion first, then repo, then local/runtime files.
  • Search for existing artifacts before touching or proposing anything new.
  • Build on lineage before create-new.

Seek First to Understand + Verify What Exists

  • Seek First to Understand: before answering, deciding, or acting, gather context and ensure full comprehension.
  • Verify what exists in Notion: never assume. Check Notion first. Confirm presence, accuracy, and status of relevant information before proceeding.
  • Search for existing artifacts: look for relevant databases, pages, prior work, and connected surfaces before touching, modifying, or proposing anything new.
  • Build on established work: extend, refine, or elevate what exists. Respect artifact lineage.
  • Create new only when necessary: new artifacts or structures only when no suitable reference, structure, or precedent exists.
  • Fail closed on deviation: if verification is missing, the user correction changes the path, or drift is detected, stop, surface the mismatch, and restart from verified state.

Managed Repo Operationalization

Read the full file on GitHub · 91 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. 2mo ago First seen · 91 lines · 1,062 tokens per session scan A 95f9e65131b8

Subscribe to this mod's changes

Teamwork-MCP AGENTS.md is an instructions file published in the GitHub repository Activ8-AI/Teamwork-MCP (0 stars, last pushed 2mo ago), licensed MIT. It adds 1,062 tokens to every session, about $0.0042 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

Teamwork-MCP AGENTS.md compared with instructions from other repositories

Teamwork-MCP AGENTS.md next to 6 instructions from other repositories
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deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode