A settings file that controls which tools an agent may use and what it does when a session starts.

Use it to define startup instructions, allow selected local commands, and deny deployment or production database commands.

It helps keep routine development actions within approved boundaries and blocks commands that could affect the live project.

writing — Skill for Claude Code and Codex by robinsadeghpour: A settings file that controls which tools an agent…

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add skills/robinsadeghpour/content-workflow/writing

Any agent

npx skills add robinsadeghpour/content-workflow --skill writing

Clone the repo

git clone --depth 1 https://github.com/robinsadeghpour/content-workflow

Made for: Claude Code, Codex.

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/skills/robinsadeghpour/content-workflow/writing.svg)](https://agentmods.dev/skills/robinsadeghpour/content-workflow/writing)

Your own site

<a href="https://agentmods.dev/skills/robinsadeghpour/content-workflow/writing"><img src="https://agentmods.dev/badge/skills/robinsadeghpour/content-workflow/writing.svg" alt="Measured on agentmods" height="20"></a>

Per session 120 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,322 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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.

Model	Per session	Once invoked
Fable 5	$0.00120	$0.02322
Opus 5	$0.00060	$0.01161
Sonnet 5	$0.00024	$0.00464
Haiku 4.5	$0.00012	$0.00232

Measured 5d ago against content hash b796a7180858, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

writing 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 5d 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.

.claude/skills/writing/SKILL.md · 183 lines

How it starts

The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Writing — Voice Profile and Humanizer Orchestration

Overview

This skill owns Robin's voice profiles and orchestrates the humanizer. Clean separation:

Humanizer = removes AI patterns (generic — applies to any text)
Writing skill = applies Robin's specific voice (platform-aware, identity-specific)

The humanizer runs first to strip generic AI patterns. The writing skill then applies Robin's actual fingerprint on top. This sequence matters — humanizer cleans the slate, writing skill adds the identity.

Voice profiles live in .claude/skills/writing/data/:

voice-linkedin.xml — LinkedIn formal-authentic profile (50 posts analyzed)
voice-casual.xml — TikTok EN/DE + Instagram casual profile (50 posts analyzed)
sample-posts-linkedin.md — Robin's actual LinkedIn posts (reference corpus)
sample-posts-casual.md — Robin's actual X/casual posts (reference corpus)

Mode 1: Apply Voice to Draft (default)

Required argument: --platform linkedin|tiktok|instagram|tiktok_de

No implicit defaults. Platform must be explicit. Applying casual voice to LinkedIn or vice versa is a hard failure.

Workflow:

Read platform argument. Map to profile:
- linkedin → .claude/skills/writing/data/voice-linkedin.xml
- tiktok, instagram, tiktok_de → .claude/skills/writing/data/voice-casual.xml
Read the target voice profile. Note the fingerprint, hook-patterns, and banned-patterns.

2b. Read the storytelling framework. Load .claude/skills/writing/data/storytelling-framework.md. Use it to evaluate draft structure:

Does the draft follow Hook → Context → Tension → Pivot → Payoff progression?
Does it address one person (not "hey guys")?
Does it use "you" for desires and "I" for problems?
Are there re-hooks or open loops to maintain attention? If the draft lacks structure, restructure it according to the 5-part framework before applying voice fingerprint.

Receive the draft text (from user prompt or piped from another skill).

Read the full file on GitHub · 183 lines

Files

What ships with it

9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

5d ago First seen · 183 lines · 120 tokens per session scan A b796a7180858

Subscribe to this mod's changes

writing is a skill published in the GitHub repository robinsadeghpour/content-workflow (55 stars, last pushed 3mo ago), licensed MIT. It adds 120 tokens to every session and 2,322 once invoked, about $0.0006 per session on Opus 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.

Writing and docs

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

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brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

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auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

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chat-perf

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chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

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cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens