dshcode: Skill for Claude Code

.agents/skills/dsh-find-simplifications/SKILL.md

dsh-find-simplifications is a skill for Claude Code, Codex from whitelonng/dshcode. It costs 97 tokens per session (3,185 once invoked), scanned A, a copy of dsh-find-simplifications, MIT.

A simplification-finding guide for the DeepSeek Harness codebase. It looks for unnecessary, duplicated, speculative, or overbuilt code and records evidence-backed proposals in Agent Notes or inline TODO, FIXME, or XXX comments.

In plain words
What is it for?
Use it to inspect the repository for simplification opportunities, propose focused notes, review outdated notes, and incorporate worthwhile ideas from another pull request.
Why use it?
It helps reduce code that adds maintenance cost without enough value, while checking the repository’s architecture and existing decisions first.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; installed under .agents/ (shared by several agents); mentions AGENTS.md.

This is whitelonng/dshcode's own configuration. It tells Claude Code and Codex how to work on dshcode itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything dshcode configures →

Reuse

Borrowing it

Nothing to install: this file belongs to whitelonng/dshcode. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/whitelonng/dshcode/master/.agents/skills/dsh-find-simplifications/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/whitelonng/dshcode

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for dsh-find-simplifications

README.md
[![agentmods](https://agentmods.dev/badge/skills/whitelonng/dshcode/dsh-find-simplifications/github.svg)](https://agentmods.dev/skills/whitelonng/dshcode/dsh-find-simplifications)
Your own site
<a href="https://agentmods.dev/skills/whitelonng/dshcode/dsh-find-simplifications"><img src="https://agentmods.dev/badge/skills/whitelonng/dshcode/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.

agentmods 80×15 button for dsh-find-simplifications

Your own site · 80×15
<a href="https://agentmods.dev/skills/whitelonng/dshcode/dsh-find-simplifications"><img src="https://agentmods.dev/badge/skills/whitelonng/dshcode/dsh-find-simplifications.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,185 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 91% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00097 $0.03185
Opus 5.5 $0.00039 $0.01274
Sonnet 5.5 $0.00019 $0.00637
Haiku 4.5 $0.00010 $0.00318

Measured 1mo ago against content hash edcbe3e32198, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 1mo 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.

Origin

This is a copy

91% identical to dsh-find-simplifications — 160 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/dsh-find-simplifications/SKILL.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Finding DeepSeek Harness Simplifications

This skill helps turn a broad "find things to simplify" request into evidence-backed Agent Notes that remove or collapse existing harness surface area. It is guidance, not a checklist: follow the code, keep judgment active, and prefer a few well-proven candidates over a pile of thin guesses.

Start With Repo Context

  • Read AGENTS.md, especially the pre-release stance and the conventions (including the tests-are-not-golden-truth and Agent Notes-are-not-golden-truth doctrines), plus docs/defensive-patterns.md and docs/testing.md.
  • Skim docs/architecture.md before judging anything under packages/; simplifications that fight the service map or event taxonomy need extra evidence.
  • Use the Agent Note tree and its rules to understand intentional architecture. The most relevant implemented examples are drop mutable session summary, shared persistence write coordinator, JSONL-only first-party Session persistence, capability seams, and the twin-adapter Agent Notes.
  • Treat dual LLM adapters as intentional by default. Session persistence is different: JSONL is the sole first-party provider, while the backend-neutral service remains available to out-of-tree providers. Do not propose deleting an LLM twin or the persistence seam as "low effort" unless the user explicitly overrides that constraint. Removing an unused method or hook inside a protected seam can still be valid if it does not collapse the protected design.

What Counts As A Strong Candidate

A strong simplification removes, folds, or demotes something real and has clear evidence that the current design costs more than it buys:

Read the full file on GitHub · 158 lines

Changes

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.

  1. 1mo ago Changed · +11 lines · +8 tokens per session edcbe3e32198
  2. 1mo ago First seen · 147 lines · 89 tokens per session scan A c6f0165f6aa3

Subscribe to this mod's changes

dsh-find-simplifications is a skill published in the GitHub repository whitelonng/dshcode (704 stars, last pushed 1mo ago), licensed MIT. It adds 97 tokens to every session and 3,185 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to dsh-find-simplifications, differing in 160 lines, and is treated as a copy.

Related

Other skills, from other repositories

visionary-cli

Analyze images with DeepSeek's vision model via the visionary-server CLI. Use this whenever the user provides an image, photo, screenshot, or document with images - run vision to look at it rather than guessing.

xlight/deepseek-visionary · 46 tokens

open-code-review

Performs AI-powered code review on Git changes using the ocr CLI from alibaba/open-code-review. Use when the user asks to review code, review a pull request, review staged/unstaged changes, review a commit, or compare branches for code quality issues. Produces line-level review comments and can automatically apply…

alibaba/open-code-review · 98 tokens

open-code-review-delegate

Delegation mode for open-code-review (OCR). Instead of OCR calling an LLM endpoint, this skill instructs the host agent to perform the code review itself, using OCR only for deterministic engineering: file selection and rule resolution. Use when the host agent should drive the review with its own LLM capabilities.

alibaba/open-code-review · 68 tokens

review

Comprehensive security and correctness audit. Use for review, deep review, thermo nuclear, or thermonuclear requests and branch or PR diff audits.

vercel/eve · 31 tokens

review

Review a small code change for correctness and missing tests.

zhnt/loushang · 13 tokens

code-review

Paranoid architect review of code changes for bugs, security, missing tests, and undocumented assumptions. Works on local git diffs OR a GitHub pull request (e.g. owner/repo N). For PRs, can post findings as line-level review comments.

suyoumo/ClawProBench · 57 tokens