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.
npx agentmods add skills/robinsadeghpour/content-workflow/approvenpx skills add robinsadeghpour/content-workflow --skill approvegit clone --depth 1 https://github.com/robinsadeghpour/content-workflowWrote 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.
[](https://agentmods.dev/skills/robinsadeghpour/content-workflow/approve)<a href="https://agentmods.dev/skills/robinsadeghpour/content-workflow/approve"><img src="https://agentmods.dev/badge/skills/robinsadeghpour/content-workflow/approve.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00031 | $0.00540 |
| Sonnet 5 | $0.00012 | $0.00216 |
| Haiku 4.5 | $0.00006 | $0.00108 |
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 6d 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.
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
/approveapprove contentschedule postsreview drafts for publishingpublish content
Platform Filter
If Robin specifies a platform, pass it through:
/approve linkedinor/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-contentfirst 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_textfield from list output — pre-critic version - AFTER (humanized): the final humanized content — show
captionfor tiktok/instagram,post_textfor linkedin - Visual approach + slide count: if applicable
- Default schedule time: computed from config/schedule-defaults.json
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.
- 6d ago First seen · 126 lines · 62 tokens per session scan A 30abd9e43320
approve is a skill published in the GitHub repository robinsadeghpour/content-workflow (55 stars, last pushed 3mo ago), licensed MIT. It adds 62 tokens to every session and 1,079 once invoked, about $0.0003 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.
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