An approval and scheduling workflow for social-media drafts. It shows reviewed text for TikTok, Instagram, and LinkedIn so a person can approve, reject, edit, or schedule it through Postiz, a publishing tool.

Use it to review pending posts, filter them by platform, edit or reject drafts, approve them, and schedule or publish them.

It keeps a human decision between draft creation and publication, and gathers pending drafts in one review process.

How robinsadeghpour/content-workflow configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to robinsadeghpour/content-workflow. 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/robinsadeghpour/content-workflow/main/.claude/skills/approve/SKILL.md

Clone the repo

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

Made for: Claude Code.

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

Your own site

<a href="https://agentmods.dev/skills/robinsadeghpour/content-workflow/approve"><img src="https://agentmods.dev/badge/skills/robinsadeghpour/content-workflow/approve/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/robinsadeghpour/content-workflow/approve"><img src="https://agentmods.dev/badge/skills/robinsadeghpour/content-workflow/approve.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,079 The whole file, excluding the scripts and references it only reads on demand.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00062	$0.01079
Opus 5.5	$0.00025	$0.00432
Sonnet 5.5	$0.00012	$0.00216
Haiku 4.5	$0.00006	$0.00108

Measured 2mo ago against content hash 30abd9e43320, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

approve 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.

.claude/skills/approve/SKILL.md · 126 lines

How it starts

The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/approve — Content Approval & Scheduling

Interactive approval workflow for publishing content through Postiz.

Activation Triggers

/approve
approve content
schedule posts
review drafts for publishing
publish content

Platform Filter

If Robin specifies a platform, pass it through:

/approve linkedin or /approve --linkedin → --platform linkedin
Same for tiktok_en, tiktok_de, instagram

Workflow

Step 1: Fetch Pending Drafts

cd /Users/robinsadeghpour/content-workflow && node scripts/approve-draft.js --list

If Robin specified a platform filter:

cd /Users/robinsadeghpour/content-workflow && node scripts/approve-draft.js --list --platform <platform>

Parse the JSON array output. If the array is empty, tell Robin:

No drafts pending approval. Run /generate-content first to create drafts.

Step 2: Check for Failed Retries

cd /Users/robinsadeghpour/content-workflow && node scripts/approve-draft.js --list-pending

If any pending-schedule drafts exist, inform Robin and offer to retry them.

Step 3: Present Each Draft for Review

For each draft from --list output, use AskUserQuestion to present:

## [PLATFORM_BADGE] Draft: <draft_id>

**Voice Score:** <voice_score from critic>/10
**Visual:** <visual_approach> (<slide_count> slides)

---

### Voice Pass Diff

**BEFORE (original):**
<original_text from --list output — the pre-humanizer version>

**AFTER (humanized):**
<full final text — the humanized caption or post_text>

---

**Scheduled for:** <default schedule time from config>

→ **Approve** / **Reject** / **Edit** / **Skip**

If original_text is null (draft predates diff tracking), show only the final text with a note: "(Original text not available — draft created before diff tracking was added)"

Display fields:

Platform badge: LINKEDIN / TIKTOK_EN / TIKTOK_DE / INSTAGRAM
Draft ID: from the list output
Voice score: critic's voice authenticity score (from content JSON if present)
BEFORE (original): the original_text field from list output — pre-critic version
AFTER (humanized): the final humanized content — show caption for tiktok/instagram, post_text for linkedin
Visual approach + slide count: if applicable
Default schedule time: computed from config/schedule-defaults.json

Read the full file on GitHub · 126 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.

2mo ago First seen · 126 lines · 62 tokens per session scan A 30abd9e43320

Subscribe to this mod's changes

approve is a skill published in the GitHub repository robinsadeghpour/content-workflow (54 stars, last pushed 6mo ago), licensed MIT. It adds 62 tokens to every session and 1,079 once invoked, about $0.0002 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.

Marketing and SEO

approve next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
approverobinsadeghpour/content-workflow	Skill	54	6mo ago	MIT	A	62	Claude Code
imagegenopenai/codex	Skill	134k	today	Apache-2.0	A	113	Codex
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	today	MIT	A	200	Claude Code, Codex
playwright-climicrosoft/playwright	Skill	99k	today	Apache-2.0	A	19	Claude Code
systematic-debuggingobra/superpowers	Skill	314k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	today	MIT	A	95	Claude Code
chat-pet-sprite-creationmicrosoft/vscode	Skill	195k	today	MIT	A	53	Claude Code, Codex

content-workflow: Skill for Claude Code