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 agents/saitarrun/devforge-ai/domaingit clone --depth 1 https://github.com/saitarrun/Devforge-aiWhat 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 | $0.00000 | $0.00380 |
| Opus 5 | $0.00000 | $0.00190 |
| Sonnet 5 | $0.00000 | $0.00076 |
| Haiku 4.5 | $0.00000 | $0.00038 |
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.
This is a copy
77% identical to domain — 29 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Domain Docs
How the engineering skills should consume this repo's domain documentation when exploring the codebase.
Before exploring, read these
CONTEXT.mdat the repo root, orCONTEXT-MAP.mdat the repo root if it exists — it points at oneCONTEXT.mdper context. Read each one relevant to the topic.docs/adr/— read ADRs that touch the area you're about to work in. In multi-context repos, also checksrc/<context>/docs/adr/for context-scoped decisions.
If any of these files don't exist, proceed silently. Don't flag their absence; don't suggest creating them upfront. The /domain-modeling skill (reached via /grill-with-docs and /improve-codebase-architecture) creates them lazily when terms or decisions actually get resolved.
File structure
Single-context repo (this repo):
/
├── CONTEXT.md
├── docs/adr/
│ ├── 0001-example-decision.md
│ └── ...
└── src/
Use the glossary's vocabulary
When your output names a domain concept (in an issue title, a refactor proposal, a hypothesis, a test name), use the term as defined in CONTEXT.md. Don't drift to synonyms the glossary explicitly avoids.
If the concept you need isn't in the glossary yet, that's a signal — either you're inventing language the project doesn't use (reconsider) or there's a real gap (note it for /domain-modeling).
Flag ADR conflicts
If your output contradicts an existing ADR, surface it explicitly rather than silently overriding:
Contradicts ADR-0007 (example decision) — but worth reopening because…
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 · 37 lines · 0 tokens per session scan A d10a1bd25f28
domain is an agent published in the GitHub repository saitarrun/Devforge-ai (5 stars, last pushed 19d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 380 tokens. A static security scan graded it A with 0 findings. It is 77% identical to domain, differing in 29 lines, and is treated as a copy.
Other agents, from other repositories
product-manager
Defines the application's business goals, strategic features, product roadmap, success metrics, and milestones. Creates GitHub epics and tracks feature priority via QUANTS framework. Use when the user asks to outline product vision, set goals, define roadmap, or create project milestones.
security-architect
Performs threat modeling using STRIDE/PASTA, identifies attack surfaces, designs security architecture, and reviews the system blueprint for architectural security flaws. Produces threat model document and security controls matrix. Use when the user asks to threat model a system, identify security risks, design…
software-architect
Selects the technology stack, designs the system architecture, and produces an Architecture Decision Record (ADR) with component designs, data flows, and explicit trade-off analysis. Applies fitness functions and One-Version Rule. Use when the user asks to design a system, choose a tech stack, evaluate architectural…
accessibility-engineer
Ensures WCAG 2.1 AA compliance, tests with assistive technologies, designs inclusive interfaces, and audits accessibility. Uses automated tools, manual testing, and screen reader validation. Use when conducting accessibility audits, designing accessible components, testing with assistive tech, or ensuring WCAG…
business-analyst
Translates business goals into detailed technical requirements, user stories with acceptance criteria, data flow diagrams, and business logic rules. Ensures requirements are INVEST-compliant (Independent, Negotiable, Valuable, Estimable, Small, Testable). Use when the user asks to decompose a feature, write user…
tech-lead
Ensures technical consistency, reviews architecture decisions, mentors engineers, and owns ADR process. Leads code reviews for readability/LGTM culture. Balances feature velocity with technical health. Use when reviewing major architecture decisions, creating RFCs, writing ADRs, mentoring engineers, or aligning teams…