dsh-preset-authoring
Skill4 starsChanged 3 months agoMITView on GitHub
Author or edit a DeepSeek Harness agent preset (agent.cordis.yml + optional preset.yml) with verified row structure, id rules, install location, and validation against a real harness install.
In this repository18 other files it gives its agents.
- dsh-changelogSkill
- dsh-chinese-docsSkill
- dsh-code-reviewSkill
- dsh-debug-sessionSkill
- dsh-dependency-auditSkill
- dsh-doc-syncSkill
- dsh-git-commitSkill
- dsh-office-artifactsSkill
- dsh-plugin-clientSkill
- dsh-plugin-devSkill
- dsh-plugin-i18nSkill
- dsh-plugin-publishSkill
- dsh-pr-reviewSkill
- dsh-refactor-safeSkill
- dsh-skill-adapterSkill
- dsh-task-breakdownSkill
- dsh-test-firstSkill
- dsh-webapp-testingSkill
The file
Files
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.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

