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 sergebulaev/threads-skills --skill threads-audience-insightsgit clone --depth 1 https://github.com/sergebulaev/threads-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/sergebulaev/threads-skills/threads-audience-insights)<a href="https://agentmods.dev/skills/sergebulaev/threads-skills/threads-audience-insights"><img src="https://agentmods.dev/badge/skills/sergebulaev/threads-skills/threads-audience-insights/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/sergebulaev/threads-skills/threads-audience-insights"><img src="https://agentmods.dev/badge/skills/sergebulaev/threads-skills/threads-audience-insights.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 | $0.00123 | $0.01296 |
| Opus 5 | $0.00062 | $0.00648 |
| Sonnet 5 | $0.00025 | $0.00259 |
| Haiku 4.5 | $0.00012 | $0.00130 |
Grade A, and why
threads-audience-insights 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 10d 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Threads Audience Insights
Turn real Threads data into a read on what is working: which posts in your niche are landing right now and why, and how an account performs (its follower count, its recent posts, the engagement each one pulls). This is the read layer, so the skill sees actual numbers instead of guessing.
One honest limit: Threads does not expose a usable list of who liked or engaged with a post. That data is cookie-gated, capped at around 100, and has no public API. So there is no engager roster here. The signal is niche discovery + profile stats + per-post engagement counts (likes, replies, reposts, quotes), which on Threads is what tells you whether a post traveled. A reply is the heaviest ranking signal on Threads, so replies matter more than raw likes when you read a winner.
When to use
- "What is working on Threads for [topic]" / "scan the niche for top posts"
- "Analyze [my / a competitor's] Threads profile"
- "How many followers does [account] have, and what are they posting"
- "Which hooks and formats are traveling on Threads right now"
Not for writing a post or a thread (use threads-post-writer) or reverse-engineering one hook (use threads-hook-extractor).
Setup (optional)
The read layer uses Apify (no login, no cookies). Get a free token at https://console.apify.com/settings/integrations and set APIFY_TOKEN in .env. No token? Paste the posts you already have and the skill runs the same analysis on them.
Input
- A niche query or hashtag (e.g. "AI marketing", "#buildinpublic"), or
- A username (yours or a competitor's), or
- Both, plus the goal (niche scan / profile read)
Output
- Niche scan - top posts for the query ranked by engagement, with the pattern behind the winners (hook shape, length, single vs thread, reply-bait vs statement)
- Profile read - the account's follower count, bio, verified status, and its recent posts ranked by engagement
- Action list - what to write more of, which accounts to watch, which formats travel now. Route drafts to
threads-post-writer.
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.
- 10d ago First seen · 72 lines · 123 tokens per session scan A f9561306ef3b
threads-audience-insights is a skill published in the GitHub repository sergebulaev/threads-skills (33 stars, last pushed yesterday), licensed MIT. It adds 123 tokens to every session and 1,296 once invoked, about $0.0006 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 2026-08-30.
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