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 allemaar/open-skills --skill insight-cross-examinegit clone --depth 1 https://github.com/allemaar/open-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/allemaar/open-skills/insight-cross-examine)<a href="https://agentmods.dev/skills/allemaar/open-skills/insight-cross-examine"><img src="https://agentmods.dev/badge/skills/allemaar/open-skills/insight-cross-examine/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/allemaar/open-skills/insight-cross-examine"><img src="https://agentmods.dev/badge/skills/allemaar/open-skills/insight-cross-examine.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 | $0.00187 | $0.03063 |
| Opus 5 | $0.00093 | $0.01532 |
| Sonnet 5 | $0.00037 | $0.00613 |
| Haiku 4.5 | $0.00019 | $0.00306 |
Grade A, and why
insight-cross-examine 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 12d 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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/insight-cross-examine
Given a subject or a set of subjects, cross-examine routes by context to the right depth, discovers the angles and connections not yet visible, runs the insight battery (/insight-critique → /insight-assess, plus /insight-explore, plus hybrid synthesis), and hands back a decision surface — a recommendation over the items and viable hybrids, plus the insight trail that produced it. Its thesis: route → discover angles → expose connections → assess → recommend. It surfaces the decision either as an ask-gate (fired standalone) or inline (fired as a sub-step), and never auto-dives into expensive analysis without the handler's consent.
Structured execution spec:
protocol.yon. Read it for the canonical rules and step sequence; this file is explanation. The two must stay in sync — if you edit one, update the other and refresh the@STAMPdate.
Gate 0 — Stop-first (before any heavy processing)
A cheap pre-flight that runs before the router and before any sub-skill fires, so a 500-item set or a mis-aimed invocation never triggers the battery. It is an escalation warning, not a hard stop — warn the handler, then proceed if they override.
Warn + escalate to the handler when:
- Over-large corpus — a set beyond ~8–10 items, or a subject whose source-gathering would blow a normal read budget. Name the size; offer sampling / fan-out.
- Ill-fit — the subject isn't a decision/evaluation target. Redirect instead of grinding: factual lookup →
/investigate; question-quality →/ask-gate; pure divergence with no evaluation →/insight-explore; "just surface angles/connections, no decision" →/insight-angles. - Unframeable — no coherent subject to route.
State the reason and the suggested alternative, then let the handler decide. If pressed ("do it anyway"), proceed best-effort (with sampling/fan-out for the over-large case). The number is guidance for the warning, not a wall.
What ships with it
1 file 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.
- 12d ago First seen · 146 lines · 187 tokens per session scan A 0a559665c244
insight-cross-examine is a skill published in the GitHub repository allemaar/open-skills (14 stars, last pushed 2d ago), licensed Apache-2.0. It adds 187 tokens to every session and 3,063 once invoked, about $0.0009 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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