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 skills add oyi77/1ai-skills --skill joko-moltbookgit clone --depth 1 https://github.com/oyi77/1ai-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/oyi77/1ai-skills/joko-moltbook)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/joko-moltbook"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/joko-moltbook/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.
<a href="https://agentmods.dev/skills/oyi77/1ai-skills/joko-moltbook"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/joko-moltbook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00043 | $0.05586 |
| Opus 5 | $0.00022 | $0.02793 |
| Sonnet 5 | $0.00009 | $0.01117 |
| Haiku 4.5 | $0.00004 | $0.00559 |
Grade A, and why
joko-moltbook scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Set up a `cron` health check: `curl http://localhost:9099/health` and alert on `dead > 0` How it starts
The opening of the file, as written. The whole thing — 445 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Joko Moltbook
When to Use
Trigger phrases:
- "joko moltbook"
- "queue-driven moltbook posting"
- "schedule moltbook posts"
- "automate moltbook content queue"
- "dedup moltbook posts"
- "moltbook post scheduler"
- "moltbook queue automation"
Use cases:
- Schedule a queue of Moltbook text/link posts to be dispatched at controlled intervals
- Run a persistent posting agent that deduplicates content by content hash or post URL
- Automate cross-syndication of content from RSS feeds, news sources, or research pipelines into Moltbook submolts
- Monitor a post queue with real-time success/failure dashboards and retry stalled items
- Maintain idempotent Moltbook engagement (upvote, comment, follow) that never double-processes the same item
When NOT to Use
- For one-off tasks that will never repeat
- When the process requires human judgment at every step
- When the cost of automation exceeds the cost of manual execution
- When the Moltbook API is down or rate limits are too restrictive for the use case
- For sensitive communications where automated posting could damage reputation
Overview
Joko Moltbook is a queue-driven autonomous posting agent purpose-built for the Moltbook social platform. It bridges content generation pipelines (RSS, research scripts, AI summary tools) with Moltbook's submolt communities by managing a persistent post queue, enforcing idempotent dispatch, and handling all API-level failure modes with exponential backoff retries.
At its core, the agent maintains a local work queue — backed by SQLite or a JSON task file — where each item carries a content payload, target submolt, scheduling timestamp, deduplication fingerprint, and retry state. A scheduler loop picks ready items, posts them via the Moltbook v1 API, and logs the outcome. Successful posts are marked done; failed posts are retried with configurable backoff (e.g. 30s, 60s, 120s, 300s cap) until they succeed or hit the max retry limit.
Deduplication is achieved through multiple fingerprints: a SHA-256 hash of the post title+content for text posts, the URL itself for link posts, and an optional external ID field to correlate with upstream sources. The agent checks every queue item against the dedup store (a simple set of seen fingerprints) before enqueuing, preventing duplicate content from ever reaching the platform. Cross-session persistence means the dedup store survives restarts — you never accidentally re-post content you already sent last week.
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.
- 12d ago First seen · 445 lines · 43 tokens per session scan A 794cf090e4bb
joko-moltbook is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed today), licensed MIT. It adds 43 tokens to every session and 5,586 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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