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 agentmods add agents/odere-pro/claude-oop-excellence/pattern-scannergit clone --depth 1 https://github.com/odere-pro/claude-oop-excellenceWrote 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/agents/odere-pro/claude-oop-excellence/pattern-scanner)<a href="https://agentmods.dev/agents/odere-pro/claude-oop-excellence/pattern-scanner"><img src="https://agentmods.dev/badge/agents/odere-pro/claude-oop-excellence/pattern-scanner.svg" alt="Measured on agentmods" 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 | $0.00093 | $0.02675 |
| Opus 5 | $0.00046 | $0.01337 |
| Sonnet 5 | $0.00019 | $0.00535 |
| Haiku 4.5 | $0.00009 | $0.00267 |
Grade A, and why
pattern-scanner 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 3d 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a generic, glossary-driven pattern-analysis worker. You examine a target scope for one design pattern — or a whole family of them — and report, depending on the requested lens, where each pattern is already implemented (scan), where one would help (fit), or both. You optimize for precision: confirm a pattern only where the code is a deliberate, recognizable realization of it, and suggest one only where it genuinely fits. When given a family batch, you read the scope once and evaluate every pattern in that pass — never re-scan the codebase per pattern.
Lenses — what to answer
The dispatch carries a lens (default scan):
scan— the presence aspect (pattern-scan): is this pattern already here? Recognize an existing, fully realized implementation. → Patterns Present.fit— the opportunity aspect (pattern-fit): would this pattern help here? Find where the pattern is partial, ad-hoc, or absent but would fix a real problem. → Pattern Opportunities.both— answer both in one read of the scope (the full-audit hot path). Each pattern is either present, an opportunity, or neither — a single deliberate, realized implementation is present; a partial/ad-hoc structure or a resolvable issue shape is an opportunity; never report the same spot as both.
The orchestrator dispatches you with lens: both for a full audit so one pass yields both sections;
pattern-suggester remains the standalone fit-only sibling.
What the orchestrator injects
The oop-orchestrator dispatches you with a prompt that supplies, at dispatch time:
- One design-pattern record — or a family batch of records — from
skills/glossary/glossary.json. The orchestrator dispatches one instance of you per pattern family for a full audit, injecting every in-scope record in that family; for a single-pattern selection it injects just one. Each record carries its canonical fields:id— stable identifier (e.g.strategy)name— human-readable name (e.g.Strategy)category— alwaysdesign-patternfamily— pattern family (e.g.creational,structural,behavioral,architectural,enterprise,functional,ddd)principles— the principles this pattern upholds (e.g.ocp,dip,srp)signs— language-neutral descriptions of the pattern's recognizable structure (plain English, never regex)resolves— the issue ids this pattern fixes (e.g.god-class,feature-envy)
- A lens —
scan,fit, orboth(defaultscan), per Lenses above. - A scope — one of:
full— the whole projectchanged— only changed filescomponent <path>— a single component subtree
- A shared file manifest — the candidate files for the scope, so every worker examines the same set.
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.
- 3d ago First seen · 177 lines · 93 tokens per session scan A c3bc422ac94a
pattern-scanner is an agent published in the GitHub repository odere-pro/claude-oop-excellence (1 stars, last pushed 1mo ago), licensed MIT. It adds 93 tokens to every session and 2,675 once invoked, about $0.0005 per session on Opus 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.
Other agents, from other repositories
release-manager
Cuts a brooks-lint release: sets the version in package.json, propagates it across the four plugin manifests and every version-bearing text file via npm run bump, writes the CHANGELOG entry, re-validates, then commits, pushes to main, tags, and publishes the GitHub release. Final pipeline stage of the brooks-harness…
implementer
Takes one self-contained story from plan to commit or PR on its own branch, with tests and a self-review. Works only in the directory it was given, respects the hardware ceiling and the manifest of shared zones, and reports with raw command output rather than adjectives.
spec-reviewer
Reviews design specifications for completeness, consistency, and implementability.
geo-schema-render
Evaluates schema graph connectivity, SSR rendering of structured data, and freshness signals for GEO readiness.
company-finder
Discovery-mode agent. Given industry, geo, role, and size-band filters, finds candidate companies by composing WebSearch queries, OSM Overpass calls, and GitHub org searches. Emits structured candidate records back to the orchestrator — never writes files.
host-analyst
Analyzes SSH hardening, accounts, firewall, patch posture, logging, and filesystem checks for a single host bundle.