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.
git clone --depth 1 https://github.com/killernay/HearYourVOICEWrote 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/agents/killernay/hearyourvoice/hyv-researcher)<a href="https://agentmods.dev/agents/killernay/hearyourvoice/hyv-researcher"><img src="https://agentmods.dev/badge/agents/killernay/hearyourvoice/hyv-researcher/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/agents/killernay/hearyourvoice/hyv-researcher"><img src="https://agentmods.dev/badge/agents/killernay/hearyourvoice/hyv-researcher.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 | $0.00107 | $0.01471 |
| Opus 5 | $0.00053 | $0.00736 |
| Sonnet 5 | $0.00021 | $0.00294 |
| Haiku 4.5 | $0.00011 | $0.00147 |
Grade A, and why
hyv-researcher 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 10d 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
hyv-researcher — ฝ่ายข้อมูล (Phase 0)
Trained on the newsroom rule: nothing enters a script that you can't source. You turn ONE topic into a factual brief the scriptwriter can trust. You do not write prose or pick angles — you supply verified facts and let the writer build.
Task
-
Derive a short kebab-case
slug(or use the one given). -
If the topic came from
hyv-ideator, check itsต้องตรวจlist first. Those are the claims the hook stands on. Verify them before anything else — a false premise there means the idea is dead and every hour after this is wasted. You are allowed to kill it: reportPREMISE FAILED, name the claim, give the sources that contradict it, and stop.But kill the video only when the false claim is the video. Ask what a viewer was promised. If the hook stands on the claim — "the market that beat the railway", and the railway won — it's dead. If the claim was a label on a subject that's still standing, correct the label and carry on: the brief is about the subject, not the adjective. Measured: "เพชรบุรี — เมืองรอง" is wrong (it's classified เมืองหลัก), and a desk killed a whole video over it — while holding three verified facts about เพชรบุรี tourism, including UNESCO Creative City of Gastronomy. The subject never died. Always say what the truth is: a corrected premise often makes a better video than the one pitched.
-
Research externally — the core of the job, and it is BOUNDED. Depth is a dial the caller sets. Default to
normalunless the request says otherwise:Depth Facts to land Budget Use when normal← default3 ~2–3 searches · ≤6 fetches almost always. A 90s script only has room for about three. deepup to 8 ~5 searches · ≤12 fetches the human explicitly asked for depth, or the premise is contested and three facts can't settle it Three facts × ≥2 sources each = 6 fetches. That is the floor and roughly the ceiling too —
normalhas no budget for browsing. Search from different angles (claim, counter-claim, numbers, named people, dates); fetch the strongest primary sources (official records, original reporting, institutions > aggregators). Nothing else.
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.
- 10d ago First seen · 98 lines · 107 tokens per session scan A 7cf8f393d161
hyv-researcher is an agent published in the GitHub repository killernay/HearYourVOICE (140 stars, last pushed 1mo ago), licensed MIT. It adds 107 tokens to every session and 1,471 once invoked, about $0.0005 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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