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 dudarenok-maker/executive-application-helper --skill candidate-voicegit clone --depth 1 https://github.com/dudarenok-maker/executive-application-helperWrote 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/dudarenok-maker/executive-application-helper/candidate-voice)<a href="https://agentmods.dev/skills/dudarenok-maker/executive-application-helper/candidate-voice"><img src="https://agentmods.dev/badge/skills/dudarenok-maker/executive-application-helper/candidate-voice/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/dudarenok-maker/executive-application-helper/candidate-voice"><img src="https://agentmods.dev/badge/skills/dudarenok-maker/executive-application-helper/candidate-voice.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 | $0.00191 | $0.01375 |
| Opus 5 | $0.00096 | $0.00687 |
| Sonnet 5 | $0.00038 | $0.00275 |
| Haiku 4.5 | $0.00019 | $0.00137 |
Grade A, and why
candidate-voice 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 8d 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.
Candidate Voice — written voice, spoken voice, prep structure, and the voice audit
Setup note: This is a template skeleton. At setup, populate the three reference files from the candidate's completed style guides (Setup Orchestrator Phase 2 produces them), and replace
[Candidate Name]/[Candidate First Name]throughout. Rename the skill if you prefer (e.g.jane-voice) — update thename:field and every reference to it inProject_Instructions.md.
This skill is the canonical home for the candidate's voice and structural templates. Four modes.
Mode 1 — Writing voice (APPLY)
For any written deliverable the candidate will sign. Load references/style-guide.md and apply it as the style baseline: tone register, sentence rhythm, banned constructions, evidence-first discipline, fit-acknowledgment style.
Mode 2 — Interview voice (spoken delivery)
For spoken-response drafting and rehearsal. Load references/interview-style-guide.md. It carries voice consistency from the writing guide plus spoken-delivery adjustments: pause markers, spoken cadence, drop lists, and timing at the candidate's actual measured words-per-minute.
Mode 3 — Interview-prep structure
For generating a prep document. Load references/interview-prep-template.md — the canonical twelve-section structure (front-matter; executive summary as a decision instrument; company context; operating entities; panel and individual research; structural-reality analysis; opening script; likely-questions table; STAR responses; practicalities; calibrated questions for the panel; sources), plus the two cross-cutting disciplines: §R research disciplines (the confidence ladder, source-authority ranking, inference labelling, handling markers, per-round hygiene) and §X cross-artefact consistency (reconcile every spoken answer against everything already submitted for the role). The research sections sit before the scripts deliberately — a pack that writes the scripts first has written them without the research.
What ships with it
3 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.
- 8d ago First seen · 59 lines · 191 tokens per session scan A 25558fe7c3c1
candidate-voice is a skill published in the GitHub repository dudarenok-maker/executive-application-helper (2 stars, last pushed 21d ago), licensed MIT. It adds 191 tokens to every session and 1,375 once invoked, about $0.0010 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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