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 skills/avantsoftware/sheepdog/setupnpx skills add avantsoftware/sheepdog --skill setupgit clone --depth 1 https://github.com/avantsoftware/sheepdogWhat 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 | $0.00062 | $0.00892 |
| Opus 5 | $0.00031 | $0.00446 |
| Sonnet 5 | $0.00012 | $0.00178 |
| Haiku 4.5 | $0.00006 | $0.00089 |
Grade A, and why
setup 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 2d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Set up sheepdog for this project
The sheepdog plugin is a generic engine: three hooks that read project-owned
rules from .claude/sheepdog/config.json. The plugin ships no rules of its own.
This skill scaffolds that config for the current project.
Do the following, in order. Adapt paths/skills to what the project actually has — do not blindly paste the examples.
1. Discover the project's skills and governed paths
- List the project's skills: look under
.claude/skills/*/SKILL.md(and any plugin skills the user mentions). These are the skills the gate can require. - Identify which directories should be gated (where hand-edits without a skill are a mistake). Ask the user if it isn't obvious. Common picks: source dirs with strong conventions, and test dirs.
2. Create .claude/sheepdog/config.json
One JSON file holds the whole gate: the authorization window, override skills, and
the ordered glob→skill rules. The routing table injected on every prompt is
GENERATED from rules, so the reminder and the gate can never drift apart.
Starter template (replace the example rule with this project's real globs and skill names; drop the fields the project doesn't need):
{
"window": 300,
"overrides": [],
"rules": [
{ "glob": "*/path/to/governed/dir/*", "skill": "the-skill-for-that-dir", "desc": "optional label for the routing table" }
]
}
Field notes (JSON has no comments — explain choices to the user in chat instead):
window— seconds a stamped skill stays valid (default 300; omit if default is fine).overrides— skills allowed to edit ANY governed path (orchestrator-style skills); omit if none.rules— first matching glob wins, so order specific → general. Globs use shell-case semantics:*matches any run of characters (including/),?matches exactly one. They match against the absolute file path.reminder(optional) — replaces the default preamble injected on every prompt.- Unknown keys are rejected and the gate fails closed — typos can't silently disable enforcement.
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.
- 2d ago First seen · 88 lines · 62 tokens per session scan A 7e0c74b23256
setup is a skill published in the GitHub repository avantsoftware/sheepdog (11 stars, last pushed 1mo ago), licensed MIT. It adds 62 tokens to every session and 892 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 2026-08-30.
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