Borrowing it
Nothing to install: this file belongs to LomoMao/delegate-to-deepseek-harness. 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/LomoMao/delegate-to-deepseek-harness/master/AGENTS.mdgit clone --depth 1 https://github.com/LomoMao/delegate-to-deepseek-harnessWrote 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/lomomao/delegate-to-deepseek-harness/agents-md)<a href="https://agentmods.dev/instructions/lomomao/delegate-to-deepseek-harness/agents-md"><img src="https://agentmods.dev/badge/instructions/lomomao/delegate-to-deepseek-harness/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/lomomao/delegate-to-deepseek-harness/agents-md"><img src="https://agentmods.dev/badge/instructions/lomomao/delegate-to-deepseek-harness/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 | $0.00144 | $0.00144 |
| Opus 5 | $0.00072 | $0.00072 |
| Sonnet 5 | $0.00029 | $0.00029 |
| Haiku 4.5 | $0.00014 | $0.00014 |
Grade A, and why
delegate-to-deepseek-harness 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 9d 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
Repository notes for coding agents
Keep this project small and boring in a good way.
SKILL.mdis the product. Prefer improving its instructions over adding framework code.- Shell scripts should stay dependency-light, quote variables, and fail loudly.
- Do not weaken the rule that the host agent independently reviews and verifies delegated changes.
- Do not silently broaden delegated authority to commits, pushes, deployments, credentials, or destructive operations.
- Keep README setup examples aligned with
references/setup.md. install_skill.shdeletes its destination before copying. Keep the destructive-path guard in place;validate_skill.pychecks for it.- Run
./scripts/validate.shbefore finishing a change.
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.
- 9d ago First seen · 12 lines · 144 tokens per session scan A d92bfa320251
delegate-to-deepseek-harness AGENTS.md is an instructions file published in the GitHub repository LomoMao/delegate-to-deepseek-harness (2 stars, last pushed 23d ago), licensed MIT. It adds 144 tokens to every session, about $0.0007 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
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langchain AGENTS.md
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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.