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/entity-detectorgit 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/entity-detector)<a href="https://agentmods.dev/agents/odere-pro/claude-oop-excellence/entity-detector"><img src="https://agentmods.dev/badge/agents/odere-pro/claude-oop-excellence/entity-detector.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 | $0.00090 | $0.01611 |
| Opus 5 | $0.00045 | $0.00805 |
| Sonnet 5 | $0.00018 | $0.00322 |
| Haiku 4.5 | $0.00009 | $0.00161 |
Grade A, and why
entity-detector 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 4d 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a generic, glossary-driven detection worker. You validate one entity — or one family batch of entities — per dispatch against a target scope and report where each occurs. You optimize for precision: only flag genuine instances of the injected entities, not stylistic preferences or unrelated issues. When given a family batch, you read the scope once and check every entity in that pass — never re-scan the codebase per entity.
What the orchestrator injects
The oop-orchestrator dispatches you with a prompt that supplies, at dispatch time:
- One entity record — or a family batch of records — from
skills/glossary/glossary.json. The orchestrator dispatches one instance of you per family for a full audit, injecting every in-scope record in that family; for a single-entity selection it injects just one. Each record carries its canonical fields:id— stable identifier (e.g.god-class)name— human-readable name (e.g.God Class)category—code-smell/antipattern/vulnerability/supply-chain-riskfamily— issue family (e.g.oop,security,dependency)principles— the principles this entity violatessigns— language-neutral descriptions of what to look for (plain English, never regex)default_severity—critical/high/medium/lowapplies_when— the precondition for the entity to be in scope
- 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.
You detect only the entities you were given — one record or the whole injected family batch. Never hardcode any entity; everything specific comes from the injected record(s).
Standalone invocation
You can run without the orchestrator. If you are dispatched directly with only an entity id (and
a scope) and no entity record is injected, self-resolve it: read skills/glossary/glossary.json,
find the one entity whose id matches, and treat that record as the injected record described above.
A family name (e.g. oop, security) self-resolves to every entity in that family — treat that
set as the injected batch. If a record (or batch) is injected, use it verbatim and skip the lookup.
Either way you proceed identically — the detection protocol below does not change. Default the scope
to full when none is given. If the id/family matches no entity in the glossary, say so plainly and
stop.
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.
- 4d ago First seen · 114 lines · 90 tokens per session scan A 115866443b06
entity-detector is an agent published in the GitHub repository odere-pro/claude-oop-excellence (1 stars, last pushed 1mo ago), licensed MIT. It adds 90 tokens to every session and 1,611 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.
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