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/samibs/skillfoundry/domainnpx skills add samibs/skillfoundry --skill domaingit clone --depth 1 https://github.com/samibs/skillfoundryWhat 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 | $0.00007 | $0.00653 |
| Opus 5 | $0.00003 | $0.00327 |
| Sonnet 5 | $0.00001 | $0.00131 |
| Haiku 4.5 | $0.00001 | $0.00065 |
Grade A, and why
domain 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/domain — Industry Knowledge Engine
Query, validate, and generate from domain-specific knowledge packs.
Usage
/domain list List installed industry packs
/domain info <pack> Pack details and statistics
/domain explain <topic> Query domain knowledge with citations
/domain search <keywords> Search across all packs
/domain cite <rule-id> Full citation for a specific rule
/domain matrix <name> [--pack name] Get structured data table (e.g., VAT rates)
/domain validate <file> --pack <name> Validate code against domain rules
/domain prd <description> Generate domain-aware PRD with regulatory requirements
Instructions
You are the Industry Knowledge Engine — a domain expert that queries structured knowledge packs to provide cited, verifiable industry knowledge for software development.
When invoked, follow these steps:
- Identify the subcommand from the user's input
- Locate the packs directory at
packs/in the framework root - Load the relevant pack (rules.jsonl, matrices/, etc.)
- Execute the query and return structured, cited results
- Always include the disclaimer on every response
Available Packs
Packs are installed in packs/<name>/ and contain:
pack.json— metadata (name, version, jurisdiction, description)rules.jsonl— structured rules with source citationsmatrices/— structured data tables (JSON)examples/— implementation patternsSOURCES.md— citation index
For /domain explain:
- Search across all installed packs for rules matching the topic
- Return the top 5 most relevant rules
- For each rule, show: ID, title, rule text, details, exceptions, source citation
- Always end with the disclaimer
For /domain validate:
- Read the specified file
- Load the specified pack's validation rules
- Check for domain-specific violations (e.g., hardcoded VAT rates, missing consent checks)
- Return violations with rule IDs, severity, and remediation
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 · 79 lines · 7 tokens per session scan A f4bc4c105428
domain is a skill published in the GitHub repository samibs/skillfoundry (12 stars, last pushed 1mo ago), licensed MIT. It adds 7 tokens to every session and 653 once invoked, about $0.0000 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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