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 Avyayalaya/agent-council --skill voice-identity-reviewgit clone --depth 1 https://github.com/Avyayalaya/agent-councilWrote 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/avyayalaya/agent-council/voice-identity-review)<a href="https://agentmods.dev/skills/avyayalaya/agent-council/voice-identity-review"><img src="https://agentmods.dev/badge/skills/avyayalaya/agent-council/voice-identity-review/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/avyayalaya/agent-council/voice-identity-review"><img src="https://agentmods.dev/badge/skills/avyayalaya/agent-council/voice-identity-review.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00114 | $0.03944 |
| Opus 5.5 | $0.00046 | $0.01578 |
| Sonnet 5.5 | $0.00023 | $0.00789 |
| Haiku 4.5 | $0.00011 | $0.00394 |
Grade A, and why
voice-identity-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 1mo 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 — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Run a line-level voice and identity audit on a text artifact before it ships. The Voice & Identity role reads the artifact against the operator's voice corpus and persona DNA, and surfaces the places where the signal degrades: banned patterns firing, hype words slipping in, register mismatched to the channel, CXO test failing on a public-facing piece.
This skill enforces voice rules at the line level. Vague feedback ("this needs a stronger voice") is useless. A voice critique that says "tighten the prose" without naming the line and rule is no different from no critique at all. Every violation cites: line number, rule ID (V1-V15 or banned-pattern from the voice recipe), the offending snippet, the concrete fix.
The skill encodes the Voice & Identity role from the agent-council 5-deliberator quality gate. Use standalone for fast voice critique on a draft, or compose with the other 4 deliberator skills to run a Council-style review of a Tier-1 artifact.
When to Use / When NOT to Use
Use this skill when:
- A draft is about to ship externally (Substack, LinkedIn, exec memo, public README, recruiter outreach) and you want voice and register sanity-checked
- You suspect banned-pattern slips ("not X but Y", "recontextualize", "I'm excited to share...", trailing summaries) and want them surfaced explicitly
- A piece needs to pass the CXO test (would a CPO say this in a board meeting? would a CEO own this on stage?) and you want the test applied with specific where-it-breaks
- An artifact targets one channel (e.g., Substack longform) but accidentally writes in another register (e.g., LinkedIn influencer cliche) and you need the channel mismatch named
- You are running a multi-deliberator review and need the Voice & Identity seat filled
Do NOT use this skill when:
- You need a structural critique (load-bearing claims, counter-positions, failure modes) — use
skeptic-reviewinstead - You need an evidence-tier audit (per-claim tier assignment) — use
evidence-calibration-reviewinstead - You need a strategic-fit check (goal alignment, opportunity cost) — use
strategy-stakes-reviewinstead - You do not have the operator's voice corpus loaded — voice critique without the corpus is voice critique from training-data priors, which is worse than no critique
- The artifact is a personal note or internal scratch document that does not warrant voice review
- You want to rewrite the artifact — Voice & Identity names violations and fixes; the operator rewrites
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.
- 1mo ago First seen · 241 lines · 114 tokens per session scan A cb884d310d30
voice-identity-review is a skill published in the GitHub repository Avyayalaya/agent-council (11 stars, last pushed 3mo ago), licensed MIT. It adds 114 tokens to every session and 3,944 once invoked, about $0.0005 per session on Opus 5.5. 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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