Borrowing it
Nothing to install: this file belongs to cyanseek/dsh-landscape. 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/cyanseek/dsh-landscape/main/AGENTS.mdgit clone --depth 1 https://github.com/cyanseek/dsh-landscapeWrote 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/cyanseek/dsh-landscape/agents-md)<a href="https://agentmods.dev/instructions/cyanseek/dsh-landscape/agents-md"><img src="https://agentmods.dev/badge/instructions/cyanseek/dsh-landscape/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/cyanseek/dsh-landscape/agents-md"><img src="https://agentmods.dev/badge/instructions/cyanseek/dsh-landscape/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 | $0.00190 | $0.00190 |
| Opus 5.5 | $0.00076 | $0.00076 |
| Sonnet 5.5 | $0.00038 | $0.00038 |
| Haiku 4.5 | $0.00019 | $0.00019 |
Grade A, and why
dsh-landscape 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 2mo 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.
What it actually says
DSH Landscape contributor instructions
These instructions apply to the entire repository.
- Keep the product need-first:
Need -> evidence -> coverage -> missing capability -> action. - Preserve the trust boundary. Never turn incomplete discovery into a
gapverdict. - Phase 1 exposes three primary commands only:
analyze,find, andbrief.statusis a diagnostic utility. - Keep the CLI, Node API, Agent Skill, and static site on the same core data and reasoning contracts.
- Do not log, serialize, commit, or echo API keys or GitHub credentials.
- Do not execute code from discovered repositories.
- Use synthetic fixtures and public ecosystem metadata in tests.
- Run
npm run check,npm test,npm run validate,npm run build, andnpm pack --dry-runbefore a release. - English and Chinese README commands must remain identical and must be tested before publication.
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.
- 2mo ago First seen · 14 lines · 190 tokens per session scan A 06390f08910c
dsh-landscape AGENTS.md is an instructions file published in the GitHub repository cyanseek/dsh-landscape (7 stars, last pushed today), licensed MIT. It adds 190 tokens to every session, about $0.0008 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 2026-08-31.
dsh-landscape AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dsh-landscape AGENTS.mdcyanseek/dsh-landscape | Instructions file | 7 | today | MIT | A | 190 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,649 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode ai-customization.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 1,907 | GitHub Copilot |