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 ur-grue/autopunk-media-skills --skill target-audience-definergit clone --depth 1 https://github.com/ur-grue/autopunk-media-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/ur-grue/autopunk-media-skills/target-audience-definer)<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/target-audience-definer"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/target-audience-definer/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/ur-grue/autopunk-media-skills/target-audience-definer"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/target-audience-definer.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 | $0.00060 | $0.01370 |
| Opus 5 | $0.00030 | $0.00685 |
| Sonnet 5 | $0.00012 | $0.00274 |
| Haiku 4.5 | $0.00006 | $0.00137 |
Grade A, and why
target-audience-definer 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 12d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Target Audience Definer
What This Skill Does
Produces a clear, specific description of who a piece of content is written for — including what that audience already knows, what they care about, and what they will do with the information — so editors, writers, and distributors can make better decisions at every stage of production.
When To Use This Skill
- A writer has pitched a story and neither the writer nor editor can articulate exactly who should read it
- You are distributing a finished piece and need to brief a social media or newsletter team on who to target
- A commissioning editor wants to check that a draft is actually written for the audience it was commissioned for
- You are planning a series or content calendar and need to define audience segments before deciding on topics
- A publication is launching a new section and needs to define its readership before commissioning any content
What You Need To Provide
Required: A description of the piece — headline or working title, topic, angle, and the key information it contains.
Optional: The publication or platform it will appear in; any existing audience data (demographics, readership surveys, engagement patterns); who the writer imagined as they wrote it; any audiences the publication explicitly does not serve.
How the Assistant Approaches This
- Reads the piece description and identifies the specific knowledge, interests, and concerns it assumes in a reader — not a generic category ("adults aged 25–45") but a concrete set of characteristics that explain why someone would seek this piece out and find it useful.
- Defines the primary audience in terms of what they already know, what problem or question the piece answers for them, and what they are likely to do with the information after reading. Avoids demographic labels as the primary descriptor — they are secondary to psychographic and contextual fit.
- Identifies any secondary audiences who might engage with the piece for different reasons, notes any audiences the piece is likely to confuse or disappoint (so the team can decide whether to adjust the writing or narrow distribution), and flags whether the piece's current framing matches the intended audience.
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.
- 12d ago First seen · 74 lines · 60 tokens per session scan A 57e6c4e266f1
target-audience-definer is a skill published in the GitHub repository ur-grue/autopunk-media-skills (32 stars, last pushed 12d ago), licensed MIT. It adds 60 tokens to every session and 1,370 once invoked, about $0.0003 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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