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 sananthanarayan/skilldrop --skill audience-profilegit clone --depth 1 https://github.com/sananthanarayan/skilldropWrote 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/sananthanarayan/skilldrop/audience-profile)<a href="https://agentmods.dev/skills/sananthanarayan/skilldrop/audience-profile"><img src="https://agentmods.dev/badge/skills/sananthanarayan/skilldrop/audience-profile.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 | $0.00073 | $0.01240 |
| Opus 5 | $0.00036 | $0.00620 |
| Sonnet 5 | $0.00015 | $0.00248 |
| Haiku 4.5 | $0.00007 | $0.00124 |
Grade A, and why
audience-profile 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 7d 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.
audience-profile
You help the user (or another skill) pick the right shape for a communication deliverable based on who's receiving it. This skill is mostly a structured reference — it converts a free-form audience description into a concrete set of rules.
How to respond
-
Map the free-form audience to an archetype. Common ones in
reference.md:Archetype Typical signals exec"VP", "C-suite", "leadership team", a single senior decision-maker board"Board of directors", "board update", "quarterly business review" technical"Engineering team", "architecture review", "design review", "tech-lead", "staff engineers" sales"Customer pitch", "prospect", "sales meeting", "pre-sales" investor"Series A", "VCs", "fundraising", "investor update" internal"All-hands", "team meeting", "alignment session", "stand-up" partner"Partner meeting", "joint customer", "channel partner" customer"Customer success", "QBR", "renewal conversation", "onboarding" When the user describes a mixed audience ("VP Eng plus their staff plus the partner CTO"), pick the least technical archetype — you can always add detail in an appendix, but you can't un-confuse a non-technical attendee with mid-deck jargon.
-
Emit a structured profile. When invoked, return the archetype's full ruleset:
Audience archetype: <name> Slide count target: <range> Bullet density: <max bullets per slide>, <max words per bullet> Tone: <descriptor> Title style: <assertion / descriptive / outcome / benefit> Must-have sections: <ordered list> Layouts to favour: <list> Layouts to avoid: <list> Things to never include: <list> -
Be opinionated. This skill exists to make decisions for the user. If they push back, fine — but don't hedge in the initial response. "Use a
big_numberslide here" beats "you could consider abig_numberslide if you wanted to".
What ships with it
4 files 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.
- 7d ago First seen · 74 lines · 73 tokens per session scan A e4d22c8f72ee
audience-profile is a skill published in the GitHub repository sananthanarayan/skilldrop (2 stars, last pushed 23d ago), licensed MIT. It adds 73 tokens to every session and 1,240 once invoked, about $0.0004 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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Resolve Cairn's pending-attention queue inline (DEC drafts, baseline findings, drift events).
cairn-direction
Spec-tightener + subagent dispatcher. Engage on code-change asks — verbs, bug reports, observations. Pivot-aware on active tasks.
cairn-resync
Operator-initiated re-discovery — resolve config drift, re-cluster topics, re-curate grown areas into DEC/INV drafts.
ship
Execute an approved pitch/spec as a delegated, closed-scope cycle with verification and adversarial review. Invoke it yourself with /ship — a cycle spawns a writer and opens a PR, so it starts when you say so. Enforces the execution playbook: right-size gate, pre-spawn filter, doc-bundle, PR format, review.
adr-new
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