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-blueskygit 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-bluesky)<a href="https://agentmods.dev/skills/tang-vu/social-posting-skills/post-bluesky"><img src="https://agentmods.dev/badge/skills/tang-vu/social-posting-skills/post-bluesky/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-bluesky"><img src="https://agentmods.dev/badge/skills/tang-vu/social-posting-skills/post-bluesky.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 | $0.00024 | $0.00429 |
| Opus 5.5 | $0.00010 | $0.00172 |
| Sonnet 5.5 | $0.00005 | $0.00086 |
| Haiku 4.5 | $0.00002 | $0.00043 |
Grade A, and why
post-bluesky 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
Bluesky Adapter
Facts live in platforms/bluesky.json (300 chars, 4 images/1MB, reply-chain
threads). Bluesky has a real public API — the adapter implements it.
What Bluesky rewards (culture)
- Sincere, conversational, early-adopter energy. What Twitter felt like circa 2010.
- Direct enthusiasm is fine; corporate voice stands out badly.
- Short reply-chain threads (3–5 posts) for step-by-step content.
- Custom feeds and starter packs drive discovery more than any algorithm.
Drafting from the content graph
core-claim→ the post. 300 chars is tight — cut ruthlessly.proof→ reply-chain posts if a thread earns it.- Links → inline facets (API handles link detection) or a reply with the URL; either is native here.
- No hashtag stuffing; a couple of organic tags are fine (facets exist).
Publishing — three honest modes
api(default when creds exist) →BSKY_HANDLE+BSKY_APP_PASSWORDenv vars. App-password scope only; never ask for the main password. Threads = reply chains (root=first post, parent=previous). Partial failures report exactly which posts landed.agent-browser→ playbook via bsky.app composer.manual→ draft package.
Genuine engagement
- Reply to replies; Bluesky culture is conversation-first.
- Join relevant custom feeds; contribute where your niche lives.
- No engagement bait, no follow-farming, no recycled replies.
Pitfalls
- 300-char limit is per post — validate every thread post.
- Media cap is 1MB per image — tighter than other platforms.
- Old advice said "no hashtags" — outdated (facets added 2024); the data file keeps the current truth.
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 · -118 lines · +9 tokens per session 07d73d654c09
- 1mo ago First seen · 166 lines · 15 tokens per session scan A 117539b7ffa8
post-bluesky is a skill published in the GitHub repository tang-vu/social-posting-skills (12 stars, last pushed 22d ago), licensed MIT. It adds 24 tokens to every session and 429 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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