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-facebookgit 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-facebook)<a href="https://agentmods.dev/skills/tang-vu/social-posting-skills/post-facebook"><img src="https://agentmods.dev/badge/skills/tang-vu/social-posting-skills/post-facebook/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-facebook"><img src="https://agentmods.dev/badge/skills/tang-vu/social-posting-skills/post-facebook.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 | $0.00416 |
| Opus 5.5 | $0.00008 | $0.00166 |
| Sonnet 5.5 | $0.00004 | $0.00083 |
| Haiku 4.5 | $0.00002 | $0.00042 |
Grade A, and why
post-facebook 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
Facebook Adapter
Facts live in platforms/facebook.json (63k char ceiling — effective length
is far shorter, media bounds). Meta requires AI-content labels for synthetic
media — mark generated images honestly.
What Facebook rewards (culture)
- Groups over Pages for organic reach — but Groups are admin-ruled communities: the group's rules decide what flies, always.
- Friendly, plain-spoken, community-minded posts. Questions to the community outperform announcements.
- Native media over outbound links.
Drafting from the content graph
core-claim→ friendly opener (a question or a "made this thing" line).context+proof→ short body; Facebook is not the place for the full technical dump.cta→ invite conversation.- Link → first comment (heuristic label in the data).
- Target a Group? The preview must name the group and the user must confirm its rules allow this content type.
Publishing
manual→ draft package (default — Group contexts vary too much to assume automation is welcome).agent-browser→ playbook exists, but many Groups queue posts for admin approval — "Pending" is normal, not a failure.api→ Pages API posts to Pages you manage (Meta app review); not implemented.
Genuine engagement
- Be a group member: answer questions, help people, then occasionally share what you built where it's relevant.
- Never post the same thing to a dozen groups — that's the spam pattern admins ban for.
- Meta's AI rules: label AI-generated media; undisclosed synthetic content risks the account.
Pitfalls
- Group posts may sit in admin-approval queues — record patiently.
- Engagement bait ("like if you agree") is penalized and prohibited here.
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 · -154 lines · +11 tokens per session ecd5d9f6b122
- 1mo ago First seen · 206 lines · 9 tokens per session scan A 044e3b0bef1d
post-facebook 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 416 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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