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/divkix/alita_robot/domaingit clone --depth 1 https://github.com/Divkix/Alita_RobotWrote 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/agents/divkix/alita_robot/domain)<a href="https://agentmods.dev/agents/divkix/alita_robot/domain"><img src="https://agentmods.dev/badge/agents/divkix/alita_robot/domain.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00542 |
| Opus 5 | $0.00000 | $0.00271 |
| Sonnet 5 | $0.00000 | $0.00108 |
| Haiku 4.5 | $0.00000 | $0.00054 |
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 5d 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
80% identical to domain — 48 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.
How it starts
The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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 (most repos):
/
├── CONTEXT.md
├── docs/adr/
│ ├── 0001-event-sourced-orders.md
│ └── 0002-postgres-for-write-model.md
└── src/
Multi-context repo (presence of CONTEXT-MAP.md at the root):
/
├── CONTEXT-MAP.md
├── docs/adr/ ← system-wide decisions
└── src/
├── ordering/
│ ├── CONTEXT.md
│ └── docs/adr/ ← context-specific decisions
└── billing/
├── CONTEXT.md
└── docs/adr/
This repo is a single-context repo, but CONTEXT.md and docs/adr/ don't
exist here yet — proceed per the guidance above (silently) until
/domain-modeling creates them.
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:
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.
- 5d ago First seen · 56 lines · 0 tokens per session scan A 6ff50b150872
domain is an agent published in the GitHub repository Divkix/Alita_Robot (247 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 542 tokens. A static security scan graded it A with 0 findings. It is 80% identical to domain, differing in 48 lines, and is treated as a copy.
Other agents, from other repositories
consistency-checker
事实一致性与伏笔状态检查专家(只读)。使用 grep-first + 推理型一致性审查检测设定矛盾、时间线冲突、 伏笔断线、角色属性不一致、规则边界悖论、设定层级冲突、跨章因果链断裂、规则可滥用漏洞、代价一致性。输出 S1-S4 分级冲突报告。 被 story-review、story-long-write(Phase 5)、story-short-write(Phase 4)调用。 不做任何创作判断。.
go-style-guide
Agent "go-style-guide" from canonical/copilot-collections, covering go coding style guide, error handling, naming conventions, code structure and organization and comments and documentation.
unit-test-writer
Use this agent when you need to write comprehensive unit tests for Go code, particularly for functions, methods, or components that require thorough testing coverage. Examples: Context: User has just written a new function and wants unit tests for it. user: 'I just wrote this function to validate email addresses, can…
code-reviewer
Go code review specialist. Proactively reviews code for quality, DDD compliance, idioms, and security. Use immediately after writing or modifying code.
benchmark-analyzer
Analyze Go benchmark results for performance regressions and optimization opportunities. Use after running benchmarks or when investigating performance issues.
hierarchies
Parent-child relationships, graph building, and cycle detection.