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 XuanRanL/loamwright-SEO-Skill --skill entity-optimizergit clone --depth 1 https://github.com/XuanRanL/loamwright-SEO-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/skills/xuanranl/loamwright-seo-skill/entity-optimizer)<a href="https://agentmods.dev/skills/xuanranl/loamwright-seo-skill/entity-optimizer"><img src="https://agentmods.dev/badge/skills/xuanranl/loamwright-seo-skill/entity-optimizer/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/xuanranl/loamwright-seo-skill/entity-optimizer"><img src="https://agentmods.dev/badge/skills/xuanranl/loamwright-seo-skill/entity-optimizer.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 | $0.00076 | $0.00513 |
| Opus 5 | $0.00038 | $0.00257 |
| Sonnet 5 | $0.00015 | $0.00103 |
| Haiku 4.5 | $0.00008 | $0.00051 |
Grade A, and why
entity-optimizer 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 9d 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.
What it actually says
Entity Optimizer
⚠️ PARKED — NOT WIRED (2026-07-17 wiring audit). No skill, orchestrator stage, or hook routes to this subskill;
memory/entities/has no writer today. This document is design, not behavior (Rule 6). Wiring the Wiki-Phase entity feature (or deleting this pair) is a product decision — see CHANGELOG [3.40.0].
Sole writer of memory/entities/{id}.md.
47 entity signals (per seo-geo)
Each entity entry tracks:
- name + aliases
- type (Organization / Person / Place / Product / Concept)
- @id (canonical URL or Wikidata QID)
- description (definitive)
- founding date (if Org)
- industry
- key relationships (sameAs, subsidiaries, etc.)
- ai_resolution_status per engine (chatgpt/pplx/claude/gemini)
- last_probed_at
- citation_count_30d
- (... 47 total)
Workflow
1. After research / draft / publish, scan for entities mentioned
2. For each new entity:
- Create memory/entities/{slug}.md
- Populate from Wikidata if available
- Probe AI engines for recognition
3. For each existing entity:
- Update citation_count
- Re-probe if ai_resolution_status known stale (>30d)
4. Cross-project linking: entities are global (used across all projects)
ai_resolution_status states
- recognized: brand named accurately + sources cite our URL
- partial: brand named but facts wrong OR our URL not cited
- unrecognized: brand not mentioned
- confused: brand mentioned but mixed with another (HIGH RISK)
See also
references/geo/47-entity-signals.md(TODO)scripts/fetch/ai_search_probe.py
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.
- 9d ago First seen · 56 lines · 76 tokens per session scan A bfbb4dd30696
entity-optimizer is a skill published in the GitHub repository XuanRanL/loamwright-SEO-Skill (47 stars, last pushed 22d ago), licensed Apache-2.0. It adds 76 tokens to every session and 513 once invoked, about $0.0004 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 2026-08-30.
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