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 impactbrussels/AINativeOS --skill cognitive-architecture-reviewgit clone --depth 1 https://github.com/impactbrussels/AINativeOSWrote 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/impactbrussels/ainativeos/cognitive-architecture-review)<a href="https://agentmods.dev/skills/impactbrussels/ainativeos/cognitive-architecture-review"><img src="https://agentmods.dev/badge/skills/impactbrussels/ainativeos/cognitive-architecture-review/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/impactbrussels/ainativeos/cognitive-architecture-review"><img src="https://agentmods.dev/badge/skills/impactbrussels/ainativeos/cognitive-architecture-review.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 | $0.00160 | $0.01438 |
| Opus 5 | $0.00080 | $0.00719 |
| Sonnet 5 | $0.00032 | $0.00288 |
| Haiku 4.5 | $0.00016 | $0.00144 |
Grade A, and why
cognitive-architecture-review 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cognitive Architecture Review
A system that demos well tells you almost nothing. The demo runs on the happy path, with the founder steering, before any of the load lands. The question that decides whether you have a company is quieter: strip the AI out, and does anything of value remain? Most "AI products" survive the removal, which is the precise reason they get cloned and never command an AI-native price. This skill audits what you already built, names the pillar holding it up by luck, and finds the loop that should make it yours.
The method
Score the four pillars, find the missing loop, then run the Remove-the-AI test on the whole design.
Full rubric, worked audit, and anti-patterns: references/review-rubric.md.
Step 1: Score each pillar against the rubric
Walk the system and grade each pillar 0 to 3 (absent, bolted-on, present, load-bearing). Use the red-flag column in the rubric to catch the pillar that is present on the slide and absent in the code.
| Pillar | The question that scores it | Common red flag |
|---|---|---|
| Brain | Which model reasons, and what is the cheaper fallback for bulk or failure? | One frontier model on every call, no fallback, no eval |
| Memory | What does the system know that the model does not? | Memory is the context window; nothing persists between sessions |
| Planning | How does it decide its moves, in order, before acting? | One mega-prompt does retrieval, reasoning, and acting at once |
| Tools | Which actions reach the world, and what is each blast radius? | Tool calls with no guardrail on the irreversible ones |
Step 2: Find the closed loop, or prove there is not one
Point to the single line where a customer's use this week makes the product measurably better next month. Trace it: use to capture to data to a sharper product. If you cannot draw that return arrow, record it as the headline finding. No loop means no flywheel means no moat, however good the pillars.
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.
- 10d ago First seen · 99 lines · 160 tokens per session scan A 7e4a149d76a9
cognitive-architecture-review is a skill published in the GitHub repository impactbrussels/AINativeOS (1 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 160 tokens to every session and 1,438 once invoked, about $0.0008 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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