What is ContentForge-techshu AGENTS.md?

An AGENTS.md instruction file for ContentForge, an open-source system that turns topics into checked, brand-compliant Microsoft Word documents and tracks published content over time.

It is for guiding agents working on the ContentForge codebase and explaining its content-generation, checking, publishing, and measurement workflows.

It gives coding agents the project context, supported environments, entry points, and repository guidance they need before making changes.

How teachskillofskills-ai/ContentForge-techshu configures Codex and Op

Reuse

Borrowing it

Nothing to install: this file belongs to teachskillofskills-ai/ContentForge-techshu. 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/teachskillofskills-ai/ContentForge-techshu/master/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/teachskillofskills-ai/ContentForge-techshu

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/teachskillofskills-ai/contentforge-techshu/agents-md.svg)](https://agentmods.dev/instructions/teachskillofskills-ai/contentforge-techshu/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/teachskillofskills-ai/contentforge-techshu/agents-md"><img src="https://agentmods.dev/badge/instructions/teachskillofskills-ai/contentforge-techshu/agents-md.svg" alt="Measured on agentmods" height="20"></a>

Per session 1,843 This file is loaded in full into every session.

When invoked 1,843 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 97% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.01843	$0.01843
Opus 5	$0.00922	$0.00922
Sonnet 5	$0.00369	$0.00369
Haiku 4.5	$0.00184	$0.00184

Measured 7d ago against content hash c9428daf26ec, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

ContentForge-techshu 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 7d 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

This is a copy

97% identical to contentforge AGENTS.md — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

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 (v4.1.2): 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

Discover skills by description. All 22 skills auto-discover via SKILL.md frontmatter (name: + description:). Match user intent.
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.
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.
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.
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.
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.

7d ago First seen · 64 lines · 1,843 tokens per session scan A c9428daf26ec

Subscribe to this mod's changes

ContentForge-techshu AGENTS.md is an instructions file published in the GitHub repository teachskillofskills-ai/ContentForge-techshu (1 stars, last pushed 18d ago), licensed MIT. It adds 1,843 tokens to every session, about $0.0092 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to contentforge AGENTS.md, differing in 2 lines, and is treated as a copy.

claude-code-plugin claude-skills content-marketing editorial fact-checking techshu

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,153 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

ContentForge-techshu: Instructions file for Codex