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 hackerFish/awesome-dsh-skills --skill dsh-preset-authoringgit clone --depth 1 https://github.com/hackerFish/awesome-dsh-skillsWrote 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/hackerfish/awesome-dsh-skills/dsh-preset-authoring)<a href="https://agentmods.dev/skills/hackerfish/awesome-dsh-skills/dsh-preset-authoring"><img src="https://agentmods.dev/badge/skills/hackerfish/awesome-dsh-skills/dsh-preset-authoring/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/hackerfish/awesome-dsh-skills/dsh-preset-authoring"><img src="https://agentmods.dev/badge/skills/hackerfish/awesome-dsh-skills/dsh-preset-authoring.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 | $0.00046 | $0.00596 |
| Opus 5 | $0.00023 | $0.00298 |
| Sonnet 5 | $0.00009 | $0.00119 |
| Haiku 4.5 | $0.00005 | $0.00060 |
Grade A, and why
dsh-preset-authoring 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 Preset Authoring
- A preset is one directory:
agent.cordis.yml(required composition) plus optionalpreset.yml(display metadata:name,description, numericorder;ordersorts the roster). - Name the directory (the preset id)
[a-z0-9][a-z0-9-]*kebab-case — discovery skips any other id outright, and authoring APIs reject it. agent.cordis.ymlis a top-level YAML list of rows{id, name, config?}; everynameis an@deepseek-ai/*package (with optionalconfig) orcordis:groupwhoseconfigis a recursive row list.- Take each row and its config fields verbatim from an official shipped preset or an install you validated — never invent field names; unverified rows fail the package-existence gate or break the boot.
- Install under the harness-home user root
~/.dsh/.agent-presets/<id>/(files are the only composition editor;copy()is the API alternative and never overwrites). - Validate against a real install:
node tools/validate-presets.mjs --harness <dsh node_modules root>from awesome-dsh-presets — YAML (incl.!!jsdialect) parses, rows carryid+name,cordis:grouprecurses, every referenced@deepseek-ai/*package exists. - Expect live discovery:
list()/resolve()re-read roots per call, and each session tracks its composition file's mtime/size stamp — a new session picks up your edit, an already-joined session keeps the generation it started on. - A directory that is broken (missing/unreadable
agent.cordis.yml) is listed with its reason, occupying the id: fix the file or delete the directory; do not shadow it with a duplicate. - Switching presets applies only to a blank session (nothing produced yet); a produced session answers
agent-preset-locked— do not claim a switch happened. - Deliver the preset directory, the validation output against the harness version you used, and one blank-session verification that it boots with the intended tools.
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 · 20 lines · 46 tokens per session scan A 0e8df580ef5b
dsh-preset-authoring is a skill published in the GitHub repository hackerFish/awesome-dsh-skills (5 stars, last pushed 7d ago), licensed MIT. It adds 46 tokens to every session and 596 once invoked, about $0.0002 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 2026-09-05.
Other skills, from other repositories
dsh-plugin-dev
A guide for building and debugging plugins for DeepSeek Harness, a developer-preview tool built on the Cordis component framework. It explains how plugins are exported, loaded, and connected to services.
api-design
Guidance for designing public programming interfaces, meaning the methods and data structures other code is allowed to use. It emphasizes adding only interfaces with real callers and making invalid uses impossible to compile.
dsh-first-plugin
A step-by-step guide for building and installing a first DSH plugin. DSH is a software tool whose plugins can add tools, connect outside services, or respond to agent events.
dsh-onboarding
Guidance for helping someone use DeepSeek Harness, a local runtime for coding agents, for the first time. It explains the runtime, profiles, workspace, permissions, and how extensions are discovered.
dsh-skill-dev
A specialist review agent for software that handles purchasing, suppliers, payments, or spending approvals.
dsh-troubleshoot
A troubleshooting guide for DeepSeek Harness, including its process, configuration, plugins, tools, skills, and model connections.