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 moses607/socialforge --skill audience-bullseyegit clone --depth 1 https://github.com/moses607/socialforgeWrote 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/moses607/socialforge/audience-bullseye)<a href="https://agentmods.dev/skills/moses607/socialforge/audience-bullseye"><img src="https://agentmods.dev/badge/skills/moses607/socialforge/audience-bullseye.svg" alt="Measured on agentmods" 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 | $0.00129 | $0.01150 |
| Opus 5 | $0.00064 | $0.00575 |
| Sonnet 5 | $0.00026 | $0.00230 |
| Haiku 4.5 | $0.00013 | $0.00115 |
Grade A, and why
audience-bullseye 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 6d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audience Bullseye
Demographics tell you who can buy; psychographics tell you why they scroll, save, and share. "Women 25-40" have nothing in common on a feed — but "anyone who feels like a fraud in meetings they're qualified to lead" will stop, feel seen, and follow. The whole game is finding the one specific person and the raw sentence running through their head, then writing to that sentence. Content that tries to speak to everyone lands on no one. Go so narrow it feels risky; the paradox of reach is that the narrowest, most specific post travels furthest because it earns the share ("this is literally me").
Method: excavate the psychographic core
Work these seven in order — each feeds the next. Answer in the audience's own words, not marketer-speak.
- The painful problem. The concrete, daily friction they'd pay to end. Get to the felt symptom, not the category ("I rewrite the same email six times" beats "communication struggles").
- The secret desire. What they want but won't say out loud — status, ease, revenge, being right, being chosen. This is the engine; hooks that touch it convert.
- The fear / objection. What stops them acting — "I'll look stupid", "I've tried and failed", "it's too late for me". Every objection is a future piece of content.
- The conversation in their head. The exact sentence they're already thinking before they see your post. You don't start a new conversation — you enter this one mid-stream.
- The aspirational identity. Who they're trying to become. People don't buy outcomes, they buy a new self-image. Name the identity they'd upgrade to.
- Where they hang out. Specific subreddits, creators they follow, hashtags, group chats, physical places. This is where you validate language and study competitors.
- Their exact language. Steal real phrasing from comments, reviews, and DMs. The persona's vocabulary becomes your hook vocabulary.
Method: mine language from the wild
- Pull 20-30 real phrases from where they gather — top comments, 1-3 star reviews (gold: the gap between expectation and reality), Reddit threads, DMs, and search autocomplete.
- Cluster them into pains, desires, and objections. Note the emotional temperature — the phrases with heat (frustration, longing, sarcasm) are your best raw hook material.
- Convert each cluster into an angle: pain → "the real reason you [problem]"; desire → "what [aspirational identity] does differently"; objection → "you're not [feared thing], you're [reframe]".
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.
- 6d ago First seen · 59 lines · 129 tokens per session scan A 5d71d92e6cc9
audience-bullseye is a skill published in the GitHub repository moses607/socialforge (2 stars, last pushed 1mo ago), licensed MIT. It adds 129 tokens to every session and 1,150 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 2026-08-31.
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