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 xonika9/agent-skills --skill x9-researchgit clone --depth 1 https://github.com/xonika9/agent-skillsWrote 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/xonika9/agent-skills/x9-research)<a href="https://agentmods.dev/skills/xonika9/agent-skills/x9-research"><img src="https://agentmods.dev/badge/skills/xonika9/agent-skills/x9-research/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/xonika9/agent-skills/x9-research"><img src="https://agentmods.dev/badge/skills/xonika9/agent-skills/x9-research.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 | $0.00201 | $0.00866 |
| Opus 5 | $0.00101 | $0.00433 |
| Sonnet 5 | $0.00040 | $0.00173 |
| Haiku 4.5 | $0.00020 | $0.00087 |
Grade A, and why
x9-research 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research
Treat prior knowledge as a hypothesis. Open live sources, trace every load-bearing claim, search for disconfirming evidence, and label uncertainty.
The machine-readable onboarding contract lists external prerequisites.
Method
- Define the real question and the claims the answer depends on. Ask only when an unresolved ambiguity would change what is researched.
- Gather breadth first, then read the strongest primary or authoritative sources in depth.
- Match evidence to claim type:
- A direct fact from its authoritative registry, specification, filing, or law may need one primary source.
- Contested, inferential, surprising, or high-stakes claims need independent corroboration and an active search for disconfirmation.
- Social sentiment requires deliberately sampled primary posts across relevant queries, dates, and views, plus a clear sampling limitation.
- Resolve source conflicts explicitly; do not average incompatible claims.
- Answer with conclusion first, evidence near each claim, freshness, and calibrated confidence.
Read references/methodology.md for evidence thresholds and independent verification. Read references/sources.md when selecting search/browser surfaces.
Runtime and browser
Use the live tools exposed by the current runtime; do not assume Claude-only names. Prefer purpose-built connectors/APIs for structured resources. Before browser work, follow x9-browser-session.
Read references/sources.md before browser or social research. It owns source selection, platform sampling, and the intentional authenticated-browser exception for X/Twitter; x9-browser-session owns controller selection, task-tab isolation, private-surface safety, and browser-route failure.
Route the result
Return a sourced answer in chat unless the request conveys persistence, update, or HTML-output intent. For any such intent, read references/delivery-modes.md; it owns classification, OKF discovery, artifact lifecycle, authority, ambiguity, and completion. When it selects HTML, also read references/html-reports.md and use assets/editorial-theme.css for shared visual tokens and optional components, never as a layout template.
What ships with it
8 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.
- 10d ago First seen · 49 lines · 201 tokens per session scan A 3445a7b89467
x9-research is a skill published in the GitHub repository xonika9/agent-skills (4 stars, last pushed 5d ago), licensed MIT. It adds 201 tokens to every session and 866 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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