Borrowing it
Nothing to install: this file belongs to impierce/ssi-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/impierce/ssi-agent/beta/AGENTS.mdgit clone --depth 1 https://github.com/impierce/ssi-agentWrote 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/instructions/impierce/ssi-agent/agents-md)<a href="https://agentmods.dev/instructions/impierce/ssi-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/impierce/ssi-agent/agents-md/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/instructions/impierce/ssi-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/impierce/ssi-agent/agents-md.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 | $0.01306 | $0.01306 |
| Opus 5.5 | $0.00522 | $0.00522 |
| Sonnet 5.5 | $0.00261 | $0.00261 |
| Haiku 4.5 | $0.00131 | $0.00131 |
Grade A, and why
ssi-agent AGENTS.md 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Application design
- DDD: The application is designed around the concept of domain-driven design, where the core business logic is organized into domains and subdomains, with a clear separation of concerns.
- CQRS: The application uses the command-query responsibility segregation pattern, where commands are used to modify state and queries are used to read state. Events are treated as immutable after the are created. Projections are used to derive queryable read models from the event stream.
- Event sourcing: The application uses event sourcing to capture all changes to the state as a sequence of events. This allows for a complete audit trail and the ability to reconstruct past states by replaying events.
- Hexagonal architecture: The application tries to abstract how data comes in to the application and how it is stored.
Architecture
Architecture Decision Records (ADRs) can be found in the docs/adr directory.
Standards and conventions
- The application follows the Twelve-Factor App methodology for building modern, scalable applications.
- The application uses semantic versioning for releases and follows a branching strategy to manage different stages of development (e.g.
mainfor stable releases,nextfor upcoming major versions,betafor pre-releases, andalphafor experimental features). - The application uses conventional commits for commit messages to enable automated semantic releases.
- For errors on the HTTP API, the application follows the RFC 9457 Problem Details for HTTP APIs specification for error responses.
- Events follow the CloudEvents specification (v1.0.2) for event structure and metadata (this is not fully done as of today).
OpenAPI operation_id
operation_id in #[utoipa::path(...)] annotations becomes the function name generated by
downstream TypeScript client generators. Keep it:
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 · 90 lines · 1,306 tokens per session scan A 7b01f1013984
ssi-agent AGENTS.md is an instructions file published in the GitHub repository impierce/ssi-agent (21 stars, last pushed 3d ago), licensed Apache-2.0. It adds 1,306 tokens to every session, about $0.0052 per session on Opus 5.5. 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 2026-10-14.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).