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 Sivan757/dsh-agent-plugins-market --skill command-developmentgit clone --depth 1 https://github.com/Sivan757/dsh-agent-plugins-marketWrote 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/sivan757/dsh-agent-plugins-market/command-development)<a href="https://agentmods.dev/skills/sivan757/dsh-agent-plugins-market/command-development"><img src="https://agentmods.dev/badge/skills/sivan757/dsh-agent-plugins-market/command-development/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/sivan757/dsh-agent-plugins-market/command-development"><img src="https://agentmods.dev/badge/skills/sivan757/dsh-agent-plugins-market/command-development.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 | $0.00100 | $0.04524 |
| Opus 5.5 | $0.00040 | $0.01810 |
| Sonnet 5.5 | $0.00020 | $0.00905 |
| Haiku 4.5 | $0.00010 | $0.00452 |
Grade A, and why
command-development 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 today.
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.
This is a copy
80% identical to command-development — 218 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.
How it starts
The opening of the file, as written. The whole thing — 889 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Command Development for DeepSeek Harness
Note: Inside a plugin, commands live at
com.deepseek.harness/commands/*.md. Project-level commands (outside a plugin) live at.agents/commands/*.mdand load when the market plugin's project-layout scan is enabled. The frontmatter and body contract below is the same in both places.
Overview
Slash commands are frequently-used prompts defined as Markdown files that the agent executes during interactive sessions. Understanding command structure, frontmatter options, and dynamic features enables creating powerful, reusable workflows.
Key concepts:
- Markdown file format for commands
- YAML frontmatter for configuration
- Dynamic arguments and file references
- Dynamic context in commands
- Command organization and namespacing
Command Basics
What is a Slash Command?
A slash command is a Markdown file containing a prompt that the agent executes when invoked. Commands provide:
- Reusability: Define once, use repeatedly
- Consistency: Standardize common workflows
- Sharing: Distribute across team or projects
- Efficiency: Quick access to complex prompts
Critical: Commands are Instructions for the agent
Commands are written for agent consumption, not human consumption.
When a user invokes /command-name, the command content becomes the agent's instructions. Write commands as directives TO the agent about what to do, not as messages TO the user.
Correct approach (instructions for the agent):
Review this code for security vulnerabilities including:
- SQL injection
- XSS attacks
- Authentication issues
Provide specific line numbers and severity ratings.
Incorrect approach (messages to user):
This command will review your code for security issues.
You'll receive a report with vulnerability details.
The first example tells the agent what to do. The second tells the user what will happen but doesn't instruct the agent. Always use the first approach.
What ships with it
10 files 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.
- examples/plugin-commands.md 14 KB
- examples/simple-commands.md 8.5 KB
- README.md 7.7 KB
- references/advanced-workflows.md 13 KB
- references/documentation-patterns.md 15 KB
- references/frontmatter-reference.md 9.2 KB
- references/interactive-commands.md 21 KB
- references/marketplace-considerations.md 16 KB
- references/plugin-features-reference.md 14 KB
- references/testing-strategies.md 15 KB
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.
- today First seen · 889 lines · 100 tokens per session scan A b271b70bc12a
command-development is a skill published in the GitHub repository Sivan757/dsh-agent-plugins-market (13 stars, last pushed today), licensed MIT. It adds 100 tokens to every session and 4,524 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 80% identical to command-development, differing in 218 lines, and is treated as a copy.
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