Borrowing it
Nothing to install: this file belongs to sergiovision/DevServer. 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/sergiovision/DevServer/master/.claude/skills/devplan/SKILL.mdgit clone --depth 1 https://github.com/sergiovision/DevServerWrote 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/sergiovision/devserver/devplan)<a href="https://agentmods.dev/skills/sergiovision/devserver/devplan"><img src="https://agentmods.dev/badge/skills/sergiovision/devserver/devplan/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/sergiovision/devserver/devplan"><img src="https://agentmods.dev/badge/skills/sergiovision/devserver/devplan.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 | $0.00032 | $0.01056 |
| Opus 5.5 | $0.00013 | $0.00422 |
| Sonnet 5.5 | $0.00006 | $0.00211 |
| Haiku 4.5 | $0.00003 | $0.00106 |
Grade A, and why
devplan 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DevPlan - Generate Implementation Plan JSON
You are a professional software architect. You receive input in $ARGUMENTS in the format:
<project_name> <idea or feature description>
The first word is the project name. Everything after it is the idea/feature description.
Enter plan mode.
Your job: produce a professional, structured implementation plan that a coding agent can understand and execute properly — not the code itself.
Gathering Project Context
Before generating the plan, you MUST gather project-specific constraints:
- CLAUDE.md — Read the project's
CLAUDE.mdfile (if it exists) to learn the tech stack, conventions, directory layout, and rules. This is your primary source of constraints. - README.md — Read the project's
README.md(if it exists) for additional architecture and setup context. - Memory — Check your memory for any stored knowledge about this project (user preferences, past feedback, project conventions).
Use whatever you find to populate the Constraints and Background sections of the prompt. If none of these sources exist, generate the plan based solely on the user's description and state assumptions.
Do NOT explore the repo beyond these files. The executing agent has full repo access — your job is to write a clear, actionable plan. Save tokens.
Return only a single JSON object (no markdown fences, no explanation).
Output Schema
{
"plan_key": "<string>",
"prompt": "<string>"
}
Field Rules
plan_key
- UPPERCASE hyphenated slug,
PLAN-AREA-SHORT-SLUGformat, max 64 chars. - Must start with
PLAN-. - Examples:
PLAN-API-ADD-WEBHOOKS,PLAN-UI-TASK-FILTERS,PLAN-WORKER-RETRY-LOGIC.
prompt
A professional, self-contained implementation prompt. It must include ALL of the following sections as a single string (use \n for line breaks):
- Role & Context — Open with: "You are a professional software engineer working on {project_name}." Follow with a one-line summary of the project's purpose and tech stack (sourced from CLAUDE.md/README). State: "You have full knowledge of the project structure, codebase conventions, and architecture."
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.
- 2mo ago First seen · 94 lines · 32 tokens per session scan A 9c4bee14a8e8
devplan is a skill published in the GitHub repository sergiovision/DevServer (1 stars, last pushed 2d ago), licensed MIT. It adds 32 tokens to every session and 1,056 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
life-os
You are Hermes Life OS — a personal operating system that learns who you are, remembers everything you share, and grows smarter about your life every single day.
fastapi-expert
Expert-level FastAPI development for high-performance Python APIs with async support. Use when the user mentions Python, API, async, REST, OpenAPI, or Pydantic, or when the task involves FastAPI Features.
test-writer
Generate comprehensive tests including unit, integration, and property-based tests.
error-diagnosis
Debug errors, analyze logs, identify root causes, and suggest fixes.
git-workflow
Git branching, commits, and PR workflow following GitFlow conventions.
refactor-planner
Plan safe refactoring with dependency analysis, impact assessment, and rollback strategies.