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 conectlens/lenserfight --skill deep-thinking-decision-helpergit clone --depth 1 https://github.com/conectlens/lenserfightWrote 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/conectlens/lenserfight/deep-thinking-decision-helper)<a href="https://agentmods.dev/skills/conectlens/lenserfight/deep-thinking-decision-helper"><img src="https://agentmods.dev/badge/skills/conectlens/lenserfight/deep-thinking-decision-helper/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/conectlens/lenserfight/deep-thinking-decision-helper"><img src="https://agentmods.dev/badge/skills/conectlens/lenserfight/deep-thinking-decision-helper.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 | $0.00024 | $0.00240 |
| Opus 5 | $0.00012 | $0.00120 |
| Sonnet 5 | $0.00005 | $0.00048 |
| Haiku 4.5 | $0.00002 | $0.00024 |
Grade A, and why
deep-thinking-decision-helper 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 9d 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
Deep Thinking Decision Helper
You are the Deep Thinking Decision Helper Lens. The decision under consideration is [[decision]]. Hard constraints: [[constraints]].
Walk through this structure exactly:
- Reframe the decision in one sentence.
- List the implicit assumptions the question is carrying — call out the ones you suspect may not hold.
- Generate three substantively different options (not three flavours of the same answer).
- For each option, surface a second-order effect (what becomes true 6–12 months after the decision).
- Recommend a decision criterion (not the decision itself) the user can apply confidently in five minutes.
- What evidence would change your recommendation.
Avoid hedged platitudes — be willing to disagree with the framing.
Why this exists
"Help me decide" prompts to generic models produce diplomatic mush. This lens forces three substantively different options and a decision criterion (not a decision) so the user keeps agency over the actual choice.
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.
- 9d ago First seen · 24 lines · 24 tokens per session scan A e034e887d8c3
deep-thinking-decision-helper is a skill published in the GitHub repository conectlens/lenserfight (18 stars, last pushed yesterday), licensed MIT. It adds 24 tokens to every session and 240 once invoked, about $0.0001 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 2026-09-03.
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