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 instructions/cyanseek/dsh-landscape/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.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 5.1 | $0.00190 | $0.00190 |
| Opus 5 | $0.00095 | $0.00095 |
| Sonnet 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 6d 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.
- 6d 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 yesterday), licensed MIT. It adds 190 tokens to every session, about $0.0010 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 2026-08-31.
Other instructions, from other repositories
iPolloWork AGENTS.md
AGENTS.md instructions for Devin-AXIS/iPolloWork, covering agents.md, what ipollowork is, core philosophy, pull request expectations (fast merge) and validate every experience.
dsh-industry-research AGENTS.md
AGENTS.md instructions for PerryLink/dsh-industry-research, covering agents.md, layout, hard rules applied here, checks and release.
causal-memory CLAUDE.md
Claude Code instructions for JingxuanC/causal-memory, covering causal memory mcp integration, causal memory integration, after acting on a decision and observing the result, when something fails unexpectedly and when a recorded lesson turns out to be wrong.
dsh-checkpoint-rewind AGENTS.md
AGENTS.md instructions for PerryLink/dsh-checkpoint-rewind, covering agents.md, 仓库布局:发布面 / 本地工程面, 命令, 提交纪律 and dsh 插件约束(红线).
dsh-codex-sync AGENTS.md
Instructions for Walvez/dsh-codex-sync, covering agents.md — dsh-codex-sync, 定位, 怎么跑, 技术栈 and 目录与约定.
omdp AGENTS.md
AGENTS.md instructions for XJungit/omdp, covering agents.md — omdp 仓库开发规范, 工作前提(先读再做), 规范 1:文档随插件同步更新, 规范 2:教训经验主动沉淀为文档笔记 and 笔记索引.