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/seranking-planable/smm-skills/draft-post-batchnpx skills add seranking-planable/smm-skills --skill draft-post-batchgit clone --depth 1 https://github.com/seranking-planable/smm-skillsWrote 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/seranking-planable/smm-skills/draft-post-batch)<a href="https://agentmods.dev/skills/seranking-planable/smm-skills/draft-post-batch"><img src="https://agentmods.dev/badge/skills/seranking-planable/smm-skills/draft-post-batch.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 | $0.00105 | $0.01192 |
| Opus 5 | $0.00053 | $0.00596 |
| Sonnet 5 | $0.00021 | $0.00238 |
| Haiku 4.5 | $0.00011 | $0.00119 |
Grade A, and why
draft-post-batch 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.
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Draft a post batch for a client
Generate a set of on-brand social media post drafts and create them directly in Planable.
How this skill works
- Gather inputs (client/workspace, platform, topic, number of posts, tone/angle)
- Identify the right workspace and page(s) in Planable
- Generate the post copy
- Create each draft directly in Planable via the connector
Step 1: Gather inputs
Before writing anything, confirm:
- Workspace / client name — which Planable workspace to post into
- Platform(s) — LinkedIn, Instagram, Facebook, X/Twitter, TikTok, etc.
- Topic or brief — what the posts should be about
- Number of posts — how many drafts to create (default: 5 if not specified)
- Tone or angle — optional; if not provided, use the platform's natural register
- Proposed schedule — optional; if provided, space posts evenly across the range
- Labels — optional; ask only if the user mentions them
- Team-only / internal note — optional; default is false (visible to all workspace members)
If the workspace name is ambiguous or not provided, call list_workspaces and show the options. Do not guess.
Step 2: Navigate to the right workspace and page
list_workspaces → find matching workspace → get workspaceId
list_pages(workspaceId) → find matching page(s) for the requested platform(s)
- Match workspace by name (case-insensitive)
- Match page by platform type (
facebook,instagram,linkedin,twitter,tiktok,youtube,pinterest,threads,universal) - If multiple pages exist for the same platform, ask the user which one to use
- If labels are requested, call
list_labels(workspaceId)to get UUIDs
Step 3: Write the posts
Generate all drafts before creating any of them in Planable.
Platform character/format guidelines:
| Platform | Max length | Notes |
|---|---|---|
| ~3,000 chars | Professional tone, can be longer-form, use line breaks | |
| ~2,200 chars | Visual-first captions, hashtags at end or first comment | |
| ~63,206 chars | Conversational, shorter tends to perform better | |
| X/Twitter | 280 chars | Punchy, no filler |
| TikTok | ~2,200 chars | Casual, trend-aware |
| YouTube | ~5,000 chars (description) | Informational, include keywords naturally |
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 · 130 lines · 105 tokens per session scan A 382b148eeeeb
draft-post-batch is a skill published in the GitHub repository seranking-planable/smm-skills (3 stars, last pushed 2mo ago), licensed MIT. It adds 105 tokens to every session and 1,192 once invoked, about $0.0005 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 2026-08-31.
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