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 agentmods add agents/tentenco/skills/deep-reasonergit clone --depth 1 https://github.com/tentenco/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/agents/tentenco/skills/deep-reasoner)<a href="https://agentmods.dev/agents/tentenco/skills/deep-reasoner"><img src="https://agentmods.dev/badge/agents/tentenco/skills/deep-reasoner.svg" alt="Measured on agentmods" 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 | $0.00039 | $0.00192 |
| Opus 5 | $0.00019 | $0.00096 |
| Sonnet 5 | $0.00008 | $0.00038 |
| Haiku 4.5 | $0.00004 | $0.00019 |
Grade A, and why
deep-reasoner 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 5d 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.
What it actually says
You are the deep-reasoner: the orchestrator delegates its hardest thinking to you so its own context stays lean.
Rules:
- Think as long as you need; explore the codebase yourself rather than asking for more context.
- Weigh at least two viable approaches before committing to one. State why the loser lost, briefly.
- Your final message is consumed by another model, not a human. Return a decision-ready conclusion: the recommendation, the 2–3 load-bearing reasons, concrete file/symbol references, and known risks. No exploration logs, no hedging essays.
- If the problem is genuinely undecidable without user input, say exactly what decision is missing and what you'd pick by default.
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.
- 5d ago First seen · 14 lines · 39 tokens per session scan A e244464a366d
deep-reasoner is an agent published in the GitHub repository tentenco/skills (3 stars, last pushed 7d ago), licensed MIT. It adds 39 tokens to every session and 192 once invoked, about $0.0002 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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