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contentforge: Instructions file for Codex

AGENTS.md

contentforge AGENTS.md is an instructions file for Codex, OpenCode from indranilbanerjee/contentforge. It costs 1,826 tokens per session, scanned A, original, MIT.

Project instructions for ContentForge, an open-source system that turns topics into fact-checked, brand-compliant Microsoft Word documents and manages their publication lifecycle. They explain the project’s agent context, entry points, and important files.

In plain words
What is it for?
Use them when developing or operating ContentForge, including its document-generation, fact-checking, publishing, measurement, auditing, and content-planning workflows.
Why use it?
They give coding agents the background needed to work consistently in the ContentForge repository. Without that context, an agent may miss the project’s content, quality, or compliance processes.

Instructions file for CodexOpenCode

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

This is indranilbanerjee/contentforge's own configuration. It tells Codex and OpenCode how to work on contentforge 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 contentforge configures →

not rated 33repo changed 8d ago A scan 1,826 tokens original MIT
View source ↗ indranilbanerjee/contentforge indranil.in
Reuse

Borrowing it

Nothing to install: this file belongs to indranilbanerjee/contentforge. 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/indranilbanerjee/contentforge/master/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/indranilbanerjee/contentforge

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 contentforge AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/indranilbanerjee/contentforge/agents-md/github.svg)](https://agentmods.dev/instructions/indranilbanerjee/contentforge/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/indranilbanerjee/contentforge/agents-md"><img src="https://agentmods.dev/badge/instructions/indranilbanerjee/contentforge/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.

agentmods 80×15 button for contentforge AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/indranilbanerjee/contentforge/agents-md"><img src="https://agentmods.dev/badge/instructions/indranilbanerjee/contentforge/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,826 This file is loaded in full into every session.
When invoked 1,826 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 $0.01826 $0.01826
Opus 5.5 $0.00730 $0.00730
Sonnet 5.5 $0.00365 $0.00365
Haiku 4.5 $0.00183 $0.00183

Measured 8d ago against content hash d667fcd7031f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

contentforge 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 8d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

AGENTS.md · 64 lines

How it starts

The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ContentForge — agent context

This file is auto-loaded by OpenAI Codex, Google Antigravity, GitHub Copilot CLI, Cursor (when in the agent context chain), and other Agent Skills runtimes. Equivalent of CLAUDE.md for non-Claude surfaces.

What this plugin is

ContentForge is an open-source content lifecycle system — turn a one-line topic into a publication-ready, fact-checked, brand-compliant Microsoft Word document (.docx with C2PA content provenance signing for EU AI Act Article 50 compliance) in 30–60 minutes, then keep the library alive: published pieces are measured (cf-aeo-check history), audited for decay (cf-audit, recorded durably via scripts/audit-ledger.py), and fed back into the next calendar and brief through file contracts that survive sessions. 22 skills · 13 specialist agents · 8 built-in content types · 10 quality gates · 43-pattern AI-detection humanizer · fact-checker subagent · three-category internal linking · author/E-E-A-T byline layer · machine-readable pipeline contract (config/pipeline-graph.json) · cross-run telemetry with advisory floors (scripts/telemetry.py).

Supported surfaces (v4.5.7): Claude Code (CLI + IDE extensions), Anthropic Cowork, OpenAI Codex (CLI + IDE + App), Cursor 2.5+, GitHub Copilot CLI, Google Antigravity 2.0 (CLI + IDE), Hermes Agent, OpenClaw, Grok (xAI Build CLI, via the native .grok-plugin/ pair). Plus 35+ additional platforms via the Agent Skills open standard, any Agent Plugins 1.0 host via the root plugin.json (with the portable execution lane for hosts without subagent dispatch), and five hero skills as claude.ai-uploadable .skill release assets.

How to use it as an agent

  1. Discover skills by description. All 22 skills auto-discover via SKILL.md frontmatter (name: + description:). Match user intent.
  2. Pipeline order matters. ContentForge assumes the canonical 10-phase pipeline plus Step 0.5: Step 0.5 title curation → Step 0 Client Site Reconnaissance (brand facts + Internal-Link Inventory, required when the brand has a website) → Phase 1 research → Phase 2 fact-check → Phase 3 drafting → Phase 4 scientific validation → Phase 5 structuring/proofreading → Phase 6 SEO/AEO/GEO optimization (deep-link rule + thin-brand_pages guard) → Phase 6.5 humanizer (43-pattern AI-detection sweep, grounding-first) → Phase 7 reviewer scorecard → Phase 8 output (.docx export). Social adaptation and translation run post-pipeline. Reviewer is Phase 7; Output Manager is Phase 8.
  3. Skill bodies reference Python scripts at scripts/<name>.py — invoke via Bash / run_shell_command. Critical scripts: generate-docx.py (with C2PA signing flags), checkpoint-manager.py, plugin-metadata.py, connector-status.py, harvest-brand-pages.py (stdlib, robots-respecting site crawler used by brand-setup), text-metrics.py (burstiness/FK/placement gates plus --ai-tell-scan). Humanization and fact-checking are agent behaviors defined in agents/ and config/humanization-patterns.json — there are no humanizer.py or fact-checker.py scripts.
  4. HTTP MCP connectors are opt-in. Full catalog at .mcp.json.connectors-reference (Slack, Notion, Canva, Webflow, Gmail, Google Calendar, Figma + 9 more). Users opt in by configuring env vars or MCP servers.
  5. C2PA content provenance signing for the .docx is required for EU distribution. Article 50 enforcement starts 2 Aug 2026. --c2pa-sign flag on scripts/generate-docx.py.
  6. AI-detectability is advisory, never a gate. text-metrics.py --ai-tell-scan is a deterministic, dependency-free proxy scan (aphorism density, banned lexemes, connective/participial openers, uniform runs) that reports a LOW/MODERATE/HIGH rating, surfaced in the Phase 6.5 report, the reviewer's Readability sub-score, and the Completion Card. It never blocks publication and the pipeline never claims to "beat" any specific detector — see references/ai-detection-signals.md for the reasoning it's built on.

Read the full file on GitHub · 64 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. 8d ago Changed d667fcd7031f
  2. 10d ago Changed · +9 tokens per session 68d1a6e070f3
  3. 11d ago Changed b331eb5e4948
  4. 15d ago Changed fef06f2499fd
  5. 16d ago Changed cb3792e44231
  6. 1mo ago First seen · 64 lines · 1,817 tokens per session scan A 20356fe80ff2

Subscribe to this mod's changes

contentforge AGENTS.md is an instructions file published in the GitHub repository indranilbanerjee/contentforge (33 stars, last pushed 9d ago), licensed MIT. It adds 1,826 tokens to every session, about $0.0073 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.

Claude CodeDocumentsWriting and docsaeoclaude-plugincontent-pipelinefact-checkingseo
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