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 animal-friendshipgit 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/animal-friendship)<a href="https://agentmods.dev/skills/hmbown/wizards-of-the-ghosts/animal-friendship"><img src="https://agentmods.dev/badge/skills/hmbown/wizards-of-the-ghosts/animal-friendship/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/animal-friendship"><img src="https://agentmods.dev/badge/skills/hmbown/wizards-of-the-ghosts/animal-friendship.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 | $0.00058 | $0.00598 |
| Opus 5 | $0.00029 | $0.00299 |
| Sonnet 5 | $0.00012 | $0.00120 |
| Haiku 4.5 | $0.00006 | $0.00060 |
Grade A, and why
animal-friendship 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Animal Friendship
Approach a strange service gently until it stops biting.
What This Skill Does
Animal Friendship is the first-contact spell for unfamiliar APIs, vendors, and services. It treats integration work as relationship-building: learn the temperament, respect the boundaries, and earn a stable exchange before asking for anything ambitious. The goal is not domination but trustable cooperation. In this grimoire, Animal Friendship is treated as a metaphorical spell with a shipping-now delivery profile. Canonical reference input: Animal Friendship (spell).
When To Use
- You are integrating with an API or service you have never used before.
- The docs are incomplete, contradictory, or too polished to trust blindly.
- You want the smallest successful handshake before building deeper dependencies.
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.
- Profile the system's habits: auth model, rate limits, failure modes, and supported operations.
- Establish a safe first interaction, preferably read-only or against a sandbox.
- Return a cooperation plan covering the first useful call, the next expansion steps, and the boundaries you should not cross.
- Package the result as the deliverables below, with confidence, assumptions, and unresolved risk called out explicitly.
Deliverables
- A low-risk integration handshake plan.
- A shortlist of quirks, quotas, and trust boundaries.
- A recommended next request that proves the relationship is real.
Pitfalls / Guardrails
- Keep the metaphor anchored to a real mechanism instead of drifting into lore.
- Do not brute-force unfamiliar endpoints, credentials, or undocumented behavior.
- Prefer sandbox, test, or read-only access until the system has proven predictable.
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 · 66 lines · 58 tokens per session scan A 6455b2e50220
animal-friendship 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 58 tokens to every session and 598 once invoked, about $0.0003 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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