serena-usage

serena-usage is a skill for Codex from PracticalSwan/agent-skills. It costs 40 tokens per session (6,530 once invoked), scanned A, original, MIT.

A guide to using Serena, a coding tool that remembers project context and helps navigate code by its symbols, such as functions and classes.

In plain words
What is it for?
Use it to manage project memories, explore code structure, and carry out symbol-based refactoring.
Why use it?
It helps an AI agent keep useful project knowledge between sessions and find the right code without searching files manually.

Skill for Codex

Written for Codex: reads ~/.codex or $CODEX_HOME. Also seen: mentions subagents; mentions Claude Code; mentions Codex.

Install

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.

agentmods
npx agentmods add skills/practicalswan/agent-skills/serena-usage
Any agent
npx skills add PracticalSwan/agent-skills --skill serena-usage
Clone the repo
git clone --depth 1 https://github.com/PracticalSwan/agent-skills

Made for: 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 serena-usage

README.md
[![agentmods](https://agentmods.dev/badge/skills/practicalswan/agent-skills/serena-usage.svg)](https://agentmods.dev/skills/practicalswan/agent-skills/serena-usage)
Your own site
<a href="https://agentmods.dev/skills/practicalswan/agent-skills/serena-usage"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/serena-usage.svg" alt="Measured on agentmods" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,530 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00040 $0.06530
Opus 5 $0.00020 $0.03265
Sonnet 5 $0.00008 $0.01306
Haiku 4.5 $0.00004 $0.00653

Measured today against content hash dcc45bc95680, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

serena-usage 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/serena-memory-backup.ps1), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

serena-usage/SKILL.md · 705 lines

How it starts

The opening of the file, as written. The whole thing — 705 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Serena Usage

Effective usage of the Serena MCP Server for project memory management, code intelligence, and maintaining continuity across AI agent sessions.

  • Leverage native parallel subagent dispatch and 200k+ context windows where available.

Activation Conditions

Use symptom -> action triggers: when one matches, apply this skill and verify with the protocol below.

MUST activate when:

  • Serena is available for the project
  • Task requires project memory continuity
  • Task requires symbol navigation or Serena refactoring workflow
  • Managing project memories for AI session continuity
  • Navigating codebases using symbol-based tools
  • Performing code refactoring with Serena's symbol management
  • Setting up Serena onboarding for new projects
  • Using Serena's memory system for project context preservation

Critical: Always verify project activation FIRST with get_current_config before any Serena operations

Prerequisites

  • Serena MCP Server configured and running
  • Project activated (use get_current_config to verify, or activate_project if not activated)
  • Onboarding completed for the target project (use check_onboarding_performed first)
  • If not activated, run activate_project with project name or path
  • If not onboarded, run onboarding tool after activation

Onboarding Workflow

First-Time Project Setup

  1. Check activation: Call get_current_config to verify if project is activated
  2. Activate if needed: If not activated, call activate_project with project name or path
  3. Check onboarding: Call check_onboarding_performed to verify onboarding status
  4. Read manual: If not onboarded, call initial_instructions to read the Serena Instructions Manual
  5. Initialize: Call onboarding to complete project setup
  6. Serena analyzes the project structure and creates initial context

What Onboarding Captures

  • Project language and framework detection
  • Directory structure analysis
  • Key file identification
  • Symbol index creation
  • Initial memory scaffolding

Read the full file on GitHub · 705 lines

Files

What ships with it

6 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.

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. today Changed dcc45bc95680
  2. 3d ago First seen · 705 lines · 40 tokens per session scan A 8109cecd0099

Subscribe to this mod's changes

serena-usage is a skill published in the GitHub repository PracticalSwan/agent-skills (13 stars, last pushed today), licensed MIT. It adds 40 tokens to every session and 6,530 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 2026-09-03.