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 lacvietanh/akidevrule --skill akithinkgit clone --depth 1 https://github.com/lacvietanh/akidevruleWrote 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/lacvietanh/akidevrule/akithink)<a href="https://agentmods.dev/skills/lacvietanh/akidevrule/akithink"><img src="https://agentmods.dev/badge/skills/lacvietanh/akidevrule/akithink/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/lacvietanh/akidevrule/akithink"><img src="https://agentmods.dev/badge/skills/lacvietanh/akidevrule/akithink.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 | $0.00113 | $0.01096 |
| Opus 5 | $0.00056 | $0.00548 |
| Sonnet 5 | $0.00023 | $0.00219 |
| Haiku 4.5 | $0.00011 | $0.00110 |
Grade A, and why
akithink 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
akithink — structured deep-thinking session
Invoke with /akithink, or when the user explicitly asks for a deep-thinking session on a decision ("let's think this through properly", "hãy tư duy sâu về việc này", "cần một session suy nghĩ kỹ"). This is the active consumption mode of payload/METHOD-deep-think.md — the same analytical brain that akirule loads passively for ordinary tasks, run here at maximum depth through an interactive protocol.
When NOT to use this skill
Small, reversible, low-cost-of-error decisions should just be decided. Casual "should we…?" questions are already handled inline by akirule auto-loading METHOD-deep-think.md passively — that is enough for two-way-door decisions. Reach for /akithink only when the decision is big, hard to reverse (one-way-door), or the goal itself is still unclear. Do not open a session for something that a one-paragraph answer would resolve.
Toolbox
At session start, Read ~/.aki/akidevrule/METHOD-deep-think.md. It is the toolbox for every phase below — do not re-derive the modules from memory.
Phase 0 — model check
If the current model is Haiku or Sonnet, print a recommendation: deep-thinking sessions are best run on a top-tier model (Opus/Fable) — suggest /model then re-invoke /akithink. This is a recommendation only, never a block — if the user wants to continue on the current model, proceed.
Phase 1 — restate
Restate the problem in your own words. Wait for the user to confirm or correct it. Do not proceed to Phase 2 on an unconfirmed restatement — a session built on a misunderstood problem wastes the whole point of slowing down.
Phase 2 — goal excavation
Apply METHOD Module 1 (goal excavation). Climb the goal hierarchy to the ultimate goal; produce the explicit goal chain; call out conflicting goals.
Phase 3 — first principles
Apply METHOD Module 2 (facts / real constraints / assumptions). If the problem has business or product context, also apply Module 4 (techbiz lens). Skip Module 4 explicitly, and say so, when the problem is a personal tool, art project, or pure research question.
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 · 60 lines · 113 tokens per session scan A 31639c547f19
akithink is a skill published in the GitHub repository lacvietanh/akidevrule (9 stars, last pushed 4d ago), licensed MIT. It adds 113 tokens to every session and 1,096 once invoked, about $0.0006 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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