tldr-overview

tldr-overview is a skill for Claude Code from parcadei/Continuous-Claude-v3. It costs 18 tokens per session (482 once invoked), scanned A, original, MIT.

A project-overview tool that quickly maps a codebase's files, functions, classes, call relationships, and complex areas. A call graph shows which functions invoke which other functions.

In plain words
What is it for?
Use it when starting work on a codebase, finding entry points, tracing architecture, or identifying functions that may need refactoring.
Why use it?
It helps developers understand an unfamiliar project without reading every file or sending all of the source code into the conversation.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

not rated 3.9krepo +2 7mo ago A scan Socket: passSnyk: passSkillSpector: pass 18 tokens original MIT

Good fit Use it when starting work on a codebase, finding entry points, tracing architecture, or identifying functions that may need refactoring.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/parcadei/continuous-claude-v3/tldr-overview
About the project

Continuous-Claude-v3 is a Claude Code development environment that preserves working context between sessions, coordinates specialized agents, and stores project knowledge through ledgers, handoffs, and analysis tools. It is for people using Claude Code on ongoing or complex software work. Its catalogue entries are the skills, agents, hooks, plugin, and setting that provide its workflows and orchestration.

parcadei/Continuous-Claude-v3 · 3,938 stars · on GitHub

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.

Any agent
npx skills add parcadei/Continuous-Claude-v3 --skill tldr-overview
Clone the repo
git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3

Made for: Claude Code.

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 tldr-overview

README.md
[![agentmods](https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/tldr-overview/github.svg)](https://agentmods.dev/skills/parcadei/continuous-claude-v3/tldr-overview)
Your own site
<a href="https://agentmods.dev/skills/parcadei/continuous-claude-v3/tldr-overview"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/tldr-overview/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 tldr-overview

Your own site · 80×15
<a href="https://agentmods.dev/skills/parcadei/continuous-claude-v3/tldr-overview"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/tldr-overview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 482 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. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk pass 15 Feb 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00018 $0.00482
Opus 5 $0.00009 $0.00241
Sonnet 5 $0.00004 $0.00096
Haiku 4.5 $0.00002 $0.00048

Measured 9d ago against content hash f3f07ad21a35, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

tldr-overview 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 9d 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.

.claude/skills/tldr-overview/SKILL.md · 85 lines

What it actually says

TLDR Project Overview

Get a token-efficient overview of any project using the TLDR stack.

Trigger

  • /overview or /tldr-overview
  • "give me an overview of this project"
  • "what's in this codebase"
  • Starting work on an unfamiliar project

Execution

1. File Tree (Navigation Map)

tldr tree . --ext .py    # or .ts, .go, .rs

2. Code Structure (What Exists)

tldr structure src/ --lang python --max 50

Returns: functions, classes, imports per file

3. Call Graph Entry Points (Architecture)

tldr calls src/

Returns: cross-file relationships, main entry points

4. Key Function Complexity (Hot Spots)

For each entry point found:

tldr cfg src/main.py main  # Get complexity

Output Format

## Project Overview: {project_name}

### Structure
{tree output - files and directories}

### Key Components
{structure output - functions, classes per file}

### Architecture (Call Graph)
{calls output - how components connect}

### Complexity Hot Spots
{cfg output - functions with high cyclomatic complexity}

---
Token cost: ~{N} tokens (vs ~{M} raw = {savings}% savings)

When NOT to Use

  • Already familiar with the project
  • Working on a specific file (use targeted tldr commands instead)
  • Test files (need full context)

Programmatic Usage

from tldr.api import get_file_tree, get_code_structure, build_project_call_graph

# 1. Tree
tree = get_file_tree("src/", extensions={".py"})

# 2. Structure
structure = get_code_structure("src/", language="python", max_results=50)

# 3. Call graph
calls = build_project_call_graph("src/", language="python")

# 4. Complexity for hot functions
for edge in calls.edges[:10]:
    cfg = get_cfg_context("src/" + edge[0], edge[1])
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. 9d ago First seen · 85 lines · 18 tokens per session scan A f3f07ad21a35

Subscribe to this mod's changes

tldr-overview is a skill published in the GitHub repository parcadei/Continuous-Claude-v3 (3,938 stars, last pushed 7mo ago), licensed MIT. It adds 18 tokens to every session and 482 once invoked, about $0.0001 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.

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