Borrowing it
Nothing to install: this file belongs to IgorGanapolsky/openclaw-console. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/IgorGanapolsky/openclaw-console/develop/.github/instructions/architecture.instructions.mdgit clone --depth 1 https://github.com/IgorGanapolsky/openclaw-consoleWrote 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/instructions/igorganapolsky/openclaw-console/architecture)<a href="https://agentmods.dev/instructions/igorganapolsky/openclaw-console/architecture"><img src="https://agentmods.dev/badge/instructions/igorganapolsky/openclaw-console/architecture/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/instructions/igorganapolsky/openclaw-console/architecture"><img src="https://agentmods.dev/badge/instructions/igorganapolsky/openclaw-console/architecture.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 | $0.00208 | $0.00208 |
| Opus 5.5 | $0.00083 | $0.00083 |
| Sonnet 5.5 | $0.00042 | $0.00042 |
| Haiku 4.5 | $0.00021 | $0.00021 |
Grade A, and why
openclaw-console architecture.instructions.md 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 27d 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
Architecture Agent Instructions
- Read
CONTEXT.mdbefore proposing architecture changes. - Read relevant ADRs in
docs/adr/before changing stable decisions. - Use
.agents/skills/improve-codebase-architecture/SKILL.mdfor architecture refactors, testability work, module consolidation, or agent navigability improvements. - Use OpenClaw domain terms from
CONTEXT.md: Gateway, Mobile Console, Skill, Agent, Task, Task Step, Incident, Approval Request, Approval Decision, Gateway Connection, Store Release, and Daily Active Approver. - Judge refactors by module depth, interface size, locality, leverage, and test surface.
- Do not move intelligence from the Gateway or Skills into mobile clients.
- Do not weaken biometric approval, TLS, release read-back, app icon parity, or store metadata verification.
- If a new durable domain term is introduced, update
CONTEXT.md. - If a durable architecture decision is made or rejected, add an ADR under
docs/adr/.
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.
- 27d ago First seen · 12 lines · 208 tokens per session scan A 39f6a5c9a92a
openclaw-console architecture.instructions.md is an instructions file published in the GitHub repository IgorGanapolsky/openclaw-console (6 stars, last pushed 1mo ago), licensed MIT. It adds 208 tokens to every session, about $0.0008 per session on Opus 5.5. 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 2026-10-02.
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