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 Hmbown/Wizards-of-the-Ghosts --skill legend-loregit clone --depth 1 https://github.com/Hmbown/Wizards-of-the-GhostsWrote 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/hmbown/wizards-of-the-ghosts/legend-lore)<a href="https://agentmods.dev/skills/hmbown/wizards-of-the-ghosts/legend-lore"><img src="https://agentmods.dev/badge/skills/hmbown/wizards-of-the-ghosts/legend-lore/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/hmbown/wizards-of-the-ghosts/legend-lore"><img src="https://agentmods.dev/badge/skills/hmbown/wizards-of-the-ghosts/legend-lore.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 | $0.00038 | $0.00585 |
| Opus 5 | $0.00019 | $0.00293 |
| Sonnet 5 | $0.00008 | $0.00117 |
| Haiku 4.5 | $0.00004 | $0.00059 |
Grade A, and why
legend-lore 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.
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Legend Lore
Research any named entity exhaustively across all available sources.
What This Skill Does
Use this spell when you need everything knowable about a person, company, library, framework, concept, or system — not a quick answer, but a deep dossier. In this grimoire, Legend Lore is treated as a metaphorical spell with a shipping-now delivery profile. Canonical reference input: Legend Lore (spell).
When To Use
- You have a name or identifier and need comprehensive background before making a decision.
- A quick search is insufficient — you need cross-referenced depth from docs, repos, papers, and web.
- You are entering unfamiliar territory and want the full map before acting.
Prerequisites
- No extra runtime dependencies beyond Hermes Agent and the normal toolset for this session.
Procedure
- Restate the target, the success condition, and any no-touch boundaries before taking action.
- Accept the named subject and any known context or constraints on scope.
- Search exhaustively across documentation, source code, academic papers, web, and community knowledge.
- Cross-reference findings and resolve contradictions between sources.
- Return a structured dossier with sourced claims, confidence levels, and identified gaps.
- Package the result as the deliverables below, with confidence, assumptions, and unresolved risk called out explicitly.
Deliverables
- A comprehensive, sourced research dossier on the named subject.
- A confidence-rated summary distinguishing established facts from community consensus from speculation.
- A list of known unknowns and suggested next research steps.
Pitfalls / Guardrails
- Keep the metaphor anchored to a real mechanism instead of drifting into lore.
- Cite sources for all non-trivial claims. Do not present inference as established fact.
- Respect access boundaries — do not attempt to access paywalled, private, or restricted sources without authorization.
Verification
- Check that the result includes every deliverable promised above.
- Check that confirmed facts, assumptions, and inferences are visibly separated.
- Check that the metaphor still maps cleanly to a real operational mechanism.
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 · 67 lines · 38 tokens per session scan A 77964b8861b6
legend-lore is a skill published in the GitHub repository Hmbown/Wizards-of-the-Ghosts (107 stars, last pushed 5mo ago), licensed CC0-1.0. It adds 38 tokens to every session and 585 once invoked, about $0.0002 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 2026-09-03.
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