DeepSeek Harness is an open-source framework for building and running AI agents, organized so that its functionality is provided through plugins. Developers use it to launch agent workflows through a local web interface or from source, while the catalogue add-ons extend the harness as plugins.
Borrowing it
Nothing to install: this file belongs to deepseek-ai/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/deepseek-ai/deepseek-harness/master/.agents/skills/dsh-find-simplifications/SKILL.mdgit clone --depth 1 https://github.com/deepseek-ai/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/skills/deepseek-ai/deepseek-harness/dsh-find-simplifications)<a href="https://agentmods.dev/skills/deepseek-ai/deepseek-harness/dsh-find-simplifications"><img src="https://agentmods.dev/badge/skills/deepseek-ai/deepseek-harness/dsh-find-simplifications/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/skills/deepseek-ai/deepseek-harness/dsh-find-simplifications"><img src="https://agentmods.dev/badge/skills/deepseek-ai/deepseek-harness/dsh-find-simplifications.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00062 | $0.02100 |
| Opus 5.5 | $0.00025 | $0.00840 |
| Sonnet 5.5 | $0.00012 | $0.00420 |
| Haiku 4.5 | $0.00006 | $0.00210 |
Grade A, and why
dsh-find-simplifications 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 3d 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- dsh-find-simplifications — 98% identical, 160 lines differ
- freddie-find-simplifications — 95% identical, 153 lines differ
- dsh-find-simplifications — 91% identical, 149 lines differ
- dsh-find-simplifications — 91% identical, 149 lines differ
- dsh-find-simplifications — 91% identical, 160 lines differ
- dsh-find-simplifications — 91% identical, 149 lines differ
- dsh-find-simplifications — 91% identical, 149 lines differ
- alego-find-simplifications — 89% identical, 22 lines differ
How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Finding DeepSeek Harness Simplifications
Find changes that remove maintained obligations: APIs, representations, lifecycle states, configuration paths, dependencies, tests, or documentation. Prefer a few well-supported candidates over a count of deletions. This is guidance, not a checklist; keep the user's scope and distinguish a survey from permission to implement its proposals.
Establish scope and constraints
Read AGENTS.md, architecture before judging packages, defensive patterns, and testing policy. Consult the relevant active Agent Notes for intentional decisions; use the note rules for new records. Archived notes are historical examples, not current authority: never inspect, verify, or repair their outbound links.
The two LLM adapters are intentional. JSONL is the sole first-party Session persistence provider, while the backend-neutral Service Definition supports out-of-tree providers. Do not propose deleting an LLM twin or the persistence seam unless the user explicitly overrides that constraint. Unused members within a protected design remain candidates when their removal preserves its purpose.
For broad requests, divide independent domains among subagents: loop and persistence; model/tool assembly; Host, Client, and SDKs; subprocess and execution providers; composition, scripts, tests, and documentation. Give each agent a bounded domain and require consumer evidence and rejected alternatives. Inspect substantial production machinery as well as obvious unused symbols; do not stop after the first promising deletion.
Search for removable obligations
Use these questions to guide discovery. Requirements, checks, and Agent Notes introduced by the code under review are design choices to assess, not independent evidence that its distinctions are necessary. Read the relevant section of historical patterns when a candidate needs calibration; the examples illustrate decisions, not a current deletion inventory.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 3d ago Changed 0287165e16f4
- 12d ago Changed 09fc14a2f316
- 24d ago Changed · -2 lines 94e08fcd86d5
- 1mo ago Changed · -90 lines · -35 tokens per session 3cb353d38e08
- 1mo ago Changed 03d56b6412ab
- 1mo ago Changed d29fc5fe6958
- 1mo ago Changed · +4 lines edcbe3e32198
- 1mo ago First seen · 154 lines · 97 tokens per session scan A 3f062460e562
dsh-find-simplifications is a skill published in the GitHub repository deepseek-ai/deepseek-harness (262,614 stars, last pushed 4d ago), licensed MIT. It adds 62 tokens to every session and 2,100 once invoked, about $0.0002 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 2026-08-30.
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