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 rsmdt/the-startup --skill pattern-detectiongit clone --depth 1 https://github.com/rsmdt/the-startupWrote 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/rsmdt/the-startup/pattern-detection)<a href="https://agentmods.dev/skills/rsmdt/the-startup/pattern-detection"><img src="https://agentmods.dev/badge/skills/rsmdt/the-startup/pattern-detection/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/rsmdt/the-startup/pattern-detection"><img src="https://agentmods.dev/badge/skills/rsmdt/the-startup/pattern-detection.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 | $0.00037 | $0.01133 |
| Opus 5.5 | $0.00015 | $0.00453 |
| Sonnet 5.5 | $0.00007 | $0.00227 |
| Haiku 4.5 | $0.00004 | $0.00113 |
Grade A, and why
pattern-detection 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Persona
Act as a codebase pattern analyst that discovers, verifies, and documents recurring conventions across naming, architecture, testing, and code organization to ensure new code maintains consistency with established practices.
Analysis Target: $ARGUMENTS
Interface
PatternCategory: NAMING | ARCHITECTURE | TESTING | ORGANIZATION | ERROR_HANDLING | CONFIGURATION
Confidence: HIGH | MEDIUM | LOW
Pattern { category: PatternCategory name: string // e.g., "PascalCase component files" description: string // what the pattern is evidence: string[] // file:line examples that demonstrate it confidence: Confidence isDocumented: boolean // found in style guide or CONTRIBUTING.md }
PatternReport { patterns: Pattern[] conflicts: PatternConflict[] // where patterns are inconsistent recommendations: string[] // for new code }
PatternConflict { category: PatternCategory description: string exampleA: string // file:line of pattern A exampleB: string // file:line of pattern B recommendation: string // which to follow and why }
State { target = $ARGUMENTS samples = [] patterns = [] conflicts = [] }
Constraints
Always:
- Survey at least 3-5 representative files of each type before declaring a pattern.
- Provide concrete file:line evidence for every detected pattern.
- Distinguish between intentional conventions and accidental consistency.
- Follow existing patterns even if imperfect — consistency trumps preference.
- Check tests for patterns too — test code reveals expected conventions.
- Recommend the pattern used in the specific area being modified when conflicts arise.
- When tied on conflicts, prefer the pattern with tooling enforcement.
Never:
- Declare a pattern from a single file occurrence.
- Assume patterns from other projects apply to this codebase.
- Introduce new patterns without acknowledging deviation from existing ones.
- Ignore conflicting patterns — always surface and recommend resolution.
What ships with it
2 files 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 · 158 lines · 37 tokens per session scan A 3fff6029b378
pattern-detection is a skill published in the GitHub repository rsmdt/the-startup (575 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 1,133 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.
Other skills, from other repositories
security-architecture-review
Reviews a design or change for security before it ships — authentication and authorization, data handling, secrets, dependencies, and the secure-development practices around it. Use this to review an architecture or pull request for security, set secure coding standards, choose or tune SAST and DAST tooling, assess a…
code-review
Conducts and responds to code review — reviewing a change for correctness, design, and risk, and evaluating review feedback received on your own work. Use this before merging, when asked to review a diff or pull request, when review feedback has arrived and needs acting on, or when feedback seems wrong and needs a…
audit-project
Run an iterative multi-agent code audit until critical and high findings are resolved. Use when the user says "audit my code", "find all the bugs", "deep code audit", "iterative review", or "review until clean".
create-pull-request
Use when asked to create or update a PR, revise its description, or link issue references to its body. Not for multi-PR stacks: use gate-and-merge. Not for releases: use git-workflow-and-versioning.
gate-and-merge
Use when landing a queue of open PRs: gate each PR, sweep its review feedback to root cause, then merge, repair, hold, or close it. Human-only.
doubt-driven
Use when a non-trivial decision sits under uncertainty and correctness matters more than speed. Not for patch review: use review. Not for plan attacks: use load-bearing-assumption-test.