Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/logly/mureonpx agentmods add skills/logly/mureo/audience-reviewWrote 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/logly/mureo/audience-review)<a href="https://agentmods.dev/skills/logly/mureo/audience-review"><img src="https://agentmods.dev/badge/skills/logly/mureo/audience-review.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 | $0.00147 | $0.04319 |
| Opus 5 | $0.00073 | $0.02159 |
| Sonnet 5 | $0.00029 | $0.00864 |
| Haiku 4.5 | $0.00015 | $0.00432 |
Grade A, and why
audience-review 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 2d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audience Review
PREREQUISITE: Read
../_mureo-shared/SKILL.mdfor auth, security rules, output format, and Tool Selection (Read/Write on Code,mureo_strategy_*/mureo_state_*MCP on Desktop / Cowork).
Reconcile who you say you want (the STRATEGY.md Persona / Target Audience) with who you are actually paying to reach (the live targeting and the segments where spend lands). Accounts drift: a broad audience quietly spends on a segment the Persona excludes, a placement like Audience Network burns budget with zero conversions, or the Persona implies a lookalike that was never built. This skill inventories current targeting, scores performance by segment, flags the mismatches, and proposes Persona-anchored changes.
Prerequisites
- STRATEGY.md and STATE.json must exist (run the
onboardskill first)
Steps
Before you start: Run the Diagnostic preamble from ../_mureo-shared/SKILL.md — load learning insights (mureo_learning_insights_get) and consult advisors (mureo_consult_advisor) before drawing conclusions.
-
Establish today: call
mureo_state_getfirst, on every host (including Claude Code, where you would otherwiseReadthe file) and takeserver_nowfrom its response — ISO 8601 with UTC offset, e.g.2026-07-28T10:12:33+09:00. Its date is the only source of the current date for this run: theobservation_dueyou write in step 10 isserver_now's date + 14 days. Do not shell out (this skill must run in Bash-less headless hosts) and do not read the date off STATE.json —last_synced_at,reports.*.periodandaction_logtimestamps are history, never evidence of what day it is now. Never writeserver_nowinto STATE.json: it is a response field, and a persisted copy becomes tomorrow's stale "today". -
Load context: Read STRATEGY.md — especially the Persona and Target Audience (age, gender, interests, geography, device intent, exclusions the Persona implies) and each Goal's success metric — and STATE.json. The Persona is the yardstick for every judgement below; if STRATEGY.md has no Persona, say so and offer to capture one via
/onboardrather than inventing demographics.
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.
- 2d ago Changed 9deb7b57b3f2
- 6d ago First seen · 93 lines · 147 tokens per session scan A c33a3c6b9660
audience-review is a skill published in the GitHub repository logly/mureo (43 stars, last pushed 4d ago), licensed Apache-2.0. It adds 147 tokens to every session and 4,319 once invoked, about $0.0007 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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