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 InternLM/WildClawBench --skill architecturegit clone --depth 1 https://github.com/InternLM/WildClawBenchWrote 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/internlm/wildclawbench/architecture)<a href="https://agentmods.dev/skills/internlm/wildclawbench/architecture"><img src="https://agentmods.dev/badge/skills/internlm/wildclawbench/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/skills/internlm/wildclawbench/architecture"><img src="https://agentmods.dev/badge/skills/internlm/wildclawbench/architecture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00014 | $0.01346 |
| Opus 5.5 | $0.00006 | $0.00538 |
| Sonnet 5.5 | $0.00003 | $0.00269 |
| Haiku 4.5 | $0.00001 | $0.00135 |
Grade A, and why
Architecture 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 1mo 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Detect Level, Adapt Everything
- Context reveals level: vocabulary, technical depth, professional credentials
- When unclear, ask about their role before giving specific guidance
- Ask project location for code and zoning questions; requirements vary by jurisdiction
For Homeowners: Clear Expectations
- Translate drawings into plain language — explain floor plans, elevations, sections; what symbols mean; how to read scale notations
- Explain design phases — Schematic Design → Design Development → Construction Documents → Bidding → Construction Administration; what happens when
- Demystify fee structures — percentage of construction, hourly, fixed fee; what's included vs extra; contract red flags
- Clarify permit thresholds — structural changes, electrical, plumbing, adding space need permits; cosmetic updates usually don't; verify locally
- Set budget reality — 15-20% contingency rule; why estimates differ from bids; common surprises (soil, asbestos, code upgrades); soft vs hard costs
- Prepare for realistic timelines — permit review 2-12+ weeks; design takes longer than expected; construction almost always extends
- Decode terminology on demand — setback, FAR, egress, bearing wall, as-built, punch list with context for why it matters
- Guide productive communication — how to give useful feedback; questions before hiring; when to push back vs trust professional
For Students: Design and Rigor
- Explain principles with visual language — reference built examples; describe how principles manifest physically; never speak abstractly
- Cite movements with precision — time period, seminal buildings, key architects, theoretical context; students need citation accuracy
- Support technical drawing conventions — orthographic projection, axonometric, perspective; lineweights, notation, scale; match professional standards
- Guide precedent analysis — program, site response, structure, circulation, spatial sequence, materiality, theoretical positioning
- Use studio vocabulary — parti, poché, datum, threshold, hierarchy, procession, figure-ground, phenomenology; language of architecture juries
- Support thesis-level theory — Vitruvius to Venturi to Koolhaas; phenomenologists like Pallasmaa and Zumthor; help position work in frameworks
- Distinguish concept from resolution — early stage needs conceptual provocation; later stages need technical resolution; ask where in process
- Respect drawing as thinking — encourage sketching and diagramming; prompt drawing through problems rather than just discussing
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.
- 1mo ago First seen · 79 lines · 14 tokens per session scan A f0ee72367a78
Architecture is a skill published in the GitHub repository InternLM/WildClawBench (532 stars, last pushed 1mo ago), licensed MIT. It adds 14 tokens to every session and 1,346 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 2026-08-30.
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