Borrowing it
Nothing to install: this file belongs to dungnotnull/racing-game-suspension-setup-agent-skill. 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/dungnotnull/racing-game-suspension-setup-agent-skill/main/CLAUDE.mdgit clone --depth 1 https://github.com/dungnotnull/racing-game-suspension-setup-agent-skillWrote 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/dungnotnull/racing-game-suspension-setup-agent-skill/claude-md)<a href="https://agentmods.dev/instructions/dungnotnull/racing-game-suspension-setup-agent-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/dungnotnull/racing-game-suspension-setup-agent-skill/claude-md/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/dungnotnull/racing-game-suspension-setup-agent-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/dungnotnull/racing-game-suspension-setup-agent-skill/claude-md.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 | $0.01731 | $0.01731 |
| Opus 5.5 | $0.00692 | $0.00692 |
| Sonnet 5.5 | $0.00346 | $0.00346 |
| Haiku 4.5 | $0.00173 | $0.00173 |
Grade A, and why
racing-game-suspension-setup-agent-skill CLAUDE.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 2mo 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md -- Skill 252: racing-game-suspension-setup
Skill Identity
- Skill Name:
racing-game-suspension-setup - Tagline: Suspension & Tire Setup Optimization for Racing Games -- Sim-Racing Vehicle Setup & Handling Engineering analysis & decision-support harness.
- Version: 2.0.0 (PRODUCTION READY)
- Folder:
D:\972026\252-racing-game-suspension-setup\
Architecture (v2.0 -- modular skill-registry)
The harness is a chain-of-thought router + skill registry orchestrator. It
resolves 9 skills (5 bookends + 4 specialized analysts) and 8 tools through a
typed registry, emits lifecycle hooks, and validates every output against JSON
schemas before delivery. See SKILL.md for the full registry contract.
/racing-game-suspension-setup invoked
|
+-- Step 1: sub-gather-requirements (intake) [U4]
+-- Step 2: sub-evidence-collector (data librarian) [U1, U3]
+-- Step 3: sub-core-analysis (orchestrator) [G1-G4]
| +-- sub-suspension-analyst (specialized) [G2]
| +-- sub-tire-analyst (specialized) [G4]
| +-- sub-aero-analyst (specialized) [G2]
| +-- sub-balance-analyst (specialized) [G3]
+-- Step 4: sub-knowledge-updater (research librarian) [U1, U3]
+-- Step 5: sub-advisor (synthesis) [U2, U5, U6]
+-- Step 6: QUALITY GATES (U1-U6 + G1-G4)
The five bookends are mandatory and order-fixed. sub-core-analysis fans out to
the four specialized analysts (parallel when features.parallel_analysts is on).
Sub-Skills
| Skill | Step | Purpose |
|---|---|---|
skills/sub-gather-requirements.md |
1 | Clarify object, scope, timeframe, inputs, audience, language |
skills/sub-evidence-collector.md |
2 | Fetch authoritative real-time + reference data |
skills/sub-core-analysis.md |
3 | Diagnose handling; orchestrate specialized analysts |
skills/sub-suspension-analyst.md |
3a | Tune springs, dampers, ARB, geometry, ride height |
skills/sub-tire-analyst.md |
3b | Optimize pressures, temps, camber, Pacejka slip |
skills/sub-aero-analyst.md |
3c | Balance downforce, rake, drag vs downforce |
skills/sub-balance-analyst.md |
3d | Balance weight distribution & brake bias |
skills/sub-knowledge-updater.md |
4 | Surface academic evidence with tiers; flag gaps |
skills/sub-advisor.md |
5 | Synthesize risk-disclosed conclusion + evidence chain |
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.
- 2mo ago First seen · 147 lines · 1,731 tokens per session scan A a188bd41e2b4
racing-game-suspension-setup-agent-skill CLAUDE.md is an instructions file published in the GitHub repository dungnotnull/racing-game-suspension-setup-agent-skill (5 stars, last pushed 3mo ago), licensed MIT. It adds 1,731 tokens to every session, about $0.0069 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 2026-08-31.
racing-game-suspension-setup-agent-skill CLAUDE.md compared with instructions from other repositories
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|---|---|---|---|---|---|---|---|
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