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 tang-vu/social-posting-skills --skill post-threadsgit clone --depth 1 https://github.com/tang-vu/social-posting-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/tang-vu/social-posting-skills/post-threads)<a href="https://agentmods.dev/skills/tang-vu/social-posting-skills/post-threads"><img src="https://agentmods.dev/badge/skills/tang-vu/social-posting-skills/post-threads/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/tang-vu/social-posting-skills/post-threads"><img src="https://agentmods.dev/badge/skills/tang-vu/social-posting-skills/post-threads.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00020 | $0.00302 |
| Opus 5.5 | $0.00008 | $0.00121 |
| Sonnet 5.5 | $0.00004 | $0.00060 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
post-threads 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 1mo 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.
What it actually says
Threads Adapter
Facts live in platforms/threads.json (500 chars, 10 images, topic tags).
Threads' feature set changes fast — re-check the data file quarterly.
What Threads rewards (culture)
- Casual, warm, conversational. Instagram energy, not LinkedIn energy.
- Short personal takes and reply-chain storytelling.
- One topic tag per post (tags, not hashtag strings).
Drafting from the content graph
core-claim→ conversational opener, not a headline.proof→ 2–4 follow-up posts in a chain.cta→ soft ask; hard sells read badly here.- Link → reply-preferred (heuristic label in the data).
Publishing
agent-browser→ playbook uses "Add to thread" composer chaining; posts publish together as a chain.api→ official Threads API exists (Meta app required); not implemented.manual→ draft package.
Genuine engagement
- Reply casually to commenters; Threads is a conversation space.
- No engagement bait, no recycled comments, no bait questions.
Pitfalls
- Feature churn: text attachments, reply approvals, fediverse — verify current behavior in the data file before promising capabilities.
- Automation via browser is brittle here — drafts are the safe fallback.
What ships with it
1 file 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.
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.
- 1mo ago Changed · -144 lines · +8 tokens per session c973263f1bed
- 1mo ago First seen · 185 lines · 12 tokens per session scan A 2a53209a0cb7
post-threads is a skill published in the GitHub repository tang-vu/social-posting-skills (12 stars, last pushed 22d ago), licensed MIT. It adds 20 tokens to every session and 302 once invoked, about $0.0001 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 2026-08-31.
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