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 megamen32/LastHumanCommit --skill architecture-designgit clone --depth 1 https://github.com/megamen32/LastHumanCommitWrote 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/megamen32/lasthumancommit/architecture-design)<a href="https://agentmods.dev/skills/megamen32/lasthumancommit/architecture-design"><img src="https://agentmods.dev/badge/skills/megamen32/lasthumancommit/architecture-design/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/megamen32/lasthumancommit/architecture-design"><img src="https://agentmods.dev/badge/skills/megamen32/lasthumancommit/architecture-design.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 | $0.00037 | $0.01392 |
| Opus 5.5 | $0.00015 | $0.00557 |
| Sonnet 5.5 | $0.00007 | $0.00278 |
| Haiku 4.5 | $0.00004 | $0.00139 |
Grade A, and why
architecture-design 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 yesterday.
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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design a working solution, then make it smaller
Use for a selected architecture task or when a wrong structural choice would make implementation expensive to redo. A clear bounded change can proceed through the existing implementation route. Scale design effort to the uncertainty that could change the solution; do not fill out stages merely because this skill exists.
Recover current inputs and applicable learning
Begin with the latest objective and corrections, actual project state and constraints, and relevant tested lessons, skills and outcomes from the existing indexes. Retrieve the few records that could change this decision before redesigning; do not scan the full history or load every skill. Verify freshness against current source, runtime and user intent. Keep project facts, proposed product improvements and reusable LHC method changes distinct. Prior guidance is evidence to assess, not authority over the current request.
Establish what must work
Start with the accepted user outcome and the actual consumer path. Describe a coherent solution that can achieve it before distributing implementation tasks. Identify the properties that matter for this use: observable behavior, boundaries, data ownership and lifecycle, integration contracts, and relevant failure behavior. Distinguish required properties from desirable extensions. An ideal target helps expose dependencies; it does not authorize features outside the selected scope.
Trace existing components and constraints before introducing new ones. State the costly assumptions: which wrong choice would force a migration, invalidate an interface or prevent the user from reaching the goal? Compare practical alternatives against those properties and the cost of changing course. Preserve a useful existing design when evidence supports it.
Three-pass design
Use this sequence when designing a solution, before committing to its implementation:
- Working solution. Describe an ordinary, coherent way to solve the actual task end to end with current components and constraints. First establish how it works; do not start by cutting the scope of a solution that does not exist yet.
- Ideal version. Improve that same solution into the best version for the stated purpose. Identify what better behavior, reliability, UX or architecture buys and what it costs. This is a design reference, not permission to build every extension.
- 80%-value MVP. Reduce the ideal to the smallest complete working version that retains roughly 80% of the useful result, not 80% of the implementation. Keep the essential path and architecture-critical boundaries. State the selected value, deferred improvements and a real acceptance check.
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.
- yesterday Changed · +21 lines bb2571655c6d
- 1mo ago First seen · 103 lines · 37 tokens per session scan A 3ba9d4ac2eb7
architecture-design is a skill published in the GitHub repository megamen32/LastHumanCommit (2 stars, last pushed yesterday), licensed MIT. It adds 37 tokens to every session and 1,392 once invoked, about $0.0001 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 2026-09-05.
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