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 skills add D-Robotics/moss --skill deepseek-harnessgit clone --depth 1 https://github.com/D-Robotics/mossWrote 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/skills/d-robotics/moss/deepseek-harness)<a href="https://agentmods.dev/skills/d-robotics/moss/deepseek-harness"><img src="https://agentmods.dev/badge/skills/d-robotics/moss/deepseek-harness.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 | $0.00022 | $0.00564 |
| Opus 5 | $0.00011 | $0.00282 |
| Sonnet 5 | $0.00004 | $0.00113 |
| Haiku 4.5 | $0.00002 | $0.00056 |
Grade A, and why
deepseek-harness 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 7d 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
DeepSeek V4 Harness
Use these rules when code calls DeepSeek V4-Pro, V4-Flash, deepseek-chat, or
deepseek-reasoner through an OpenAI-compatible API. This Moss edition is adapted from
HenryZ838978/deepseek-harness at commit
d1dd82381604aeb3586edb242e67a62003b77d71.
- Disable thinking for work that does not benefit from reasoning. In Python, send
extra_body={"thinking":{"type":"disabled"}}; for OpenAI's TypeScript SDK, confirm how the installed SDK forwards provider extensions. - When thinking is enabled and an assistant message contains tool calls, preserve its original
reasoning_contentwhile completing that tool loop. Dropping it can make the next request fail. - Always set a finite
max_tokensoutput cap. Treat the model and gateway limits as runtime configuration, not as timeless constants. - Aggregate streamed parallel tool-call deltas by the protocol's call index. Do not assume chunks arrive in call-list order.
- Buffer text and reasoning chunks in arrays and join them once; repeated string concatenation can become quadratic for long reasoning streams.
- Accept stream chunks whose
choicesarray is empty. They can still carry usage information. - Keep input plus requested output within the model's advertised context window. Probe or configure the current limit rather than relying on an old catalog value.
- Keep the stable prompt prefix free of volatile timestamps and request-specific state when prefix caching matters. Read both DeepSeek-native and OpenAI-shaped cached-token usage fields.
- Use the normal DeepSeek endpoint for tool-using flows unless current official documentation explicitly requires a beta endpoint.
- Validate tool arguments after JSON parsing even when strict function schemas are enabled.
For a real client implementation, prefer the maintained upstream packages and MCP server instead of copying an old snapshot blindly:
- Python:
deepseek-harness - CLI:
deepseek-harness-cli - MCP:
@deepseek-harness/mcp
Before recommending install commands or model limits, verify the current upstream README and official DeepSeek API documentation. Never put API keys in source, plugin configuration output, logs, or chat.
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.
- 7d ago First seen · 46 lines · 22 tokens per session scan A f809c8556e24
deepseek-harness is a skill published in the GitHub repository D-Robotics/moss (142 stars, last pushed 11d ago), licensed MIT. It adds 22 tokens to every session and 564 once invoked, about $0.0001 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 2026-08-30.
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