parcadei/continuous-claude-v3481 installs
tldr-deep
Full 5-layer analysis of a specific function. Use when debugging or deeply understanding code.
How do I install this agent skill?
npx skills add https://github.com/parcadei/continuous-claude-v3 --skill tldr-deepIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The skill facilitates deep code analysis using specialized analysis tools. It is generally safe but carries a low risk of command injection if user-provided function names are not sanitized, and an indirect prompt injection surface as it processes untrusted source code.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
- Runlayerwarn
1/1 file flagged
What does this agent skill do?
TLDR Deep Analysis
Full 5-layer analysis of a specific function. Use when debugging or deeply understanding code.
Trigger
/tldr-deep <function_name>- "analyze function X in detail"
- "I need to deeply understand how Y works"
- Debugging complex functions
Layers
| Layer | Purpose | Command |
|---|---|---|
| L1: AST | Structure | tldr extract <file> |
| L2: Call Graph | Navigation | tldr context <func> --depth 2 |
| L3: CFG | Complexity | tldr cfg <file> <func> |
| L4: DFG | Data flow | tldr dfg <file> <func> |
| L5: Slice | Dependencies | tldr slice <file> <func> <line> |
Execution
Given a function name, run all layers:
# First find the file
tldr search "def <function_name>" .
# Then run each layer
tldr extract <found_file> # L1: Full file structure
tldr context <function_name> --project . --depth 2 # L2: Call graph
tldr cfg <found_file> <function_name> # L3: Control flow
tldr dfg <found_file> <function_name> # L4: Data flow
tldr slice <found_file> <function_name> <target_line> # L5: Slice
Output Format
## Deep Analysis: {function_name}
### L1: Structure (AST)
File: {file_path}
Signature: {signature}
Docstring: {docstring}
### L2: Call Graph
Calls: {list of functions this calls}
Called by: {list of functions that call this}
### L3: Control Flow (CFG)
Blocks: {N}
Cyclomatic Complexity: {M}
[Hot if M > 10]
Branches:
- if: line X
- for: line Y
- ...
### L4: Data Flow (DFG)
Variables defined:
- {var1} @ line X
- {var2} @ line Y
Variables used:
- {var1} @ lines [A, B, C]
- {var2} @ lines [D, E]
### L5: Program Slice (affecting line {target})
Lines in slice: {N}
Key dependencies:
- line X → line Y (data)
- line A → line B (control)
---
Total: ~{tokens} tokens (95% savings vs raw file)
When to Use
- Debugging - Need to understand all paths through a function
- Refactoring - Need to know what depends on what
- Code review - Analyzing complex functions
- Performance - Finding hot spots (high cyclomatic complexity)
Programmatic API
from tldr.api import (
extract_file,
get_relevant_context,
get_cfg_context,
get_dfg_context,
get_slice
)
# All layers for one function
file_info = extract_file("src/processor.py")
context = get_relevant_context("src/", "process_data", depth=2)
cfg = get_cfg_context("src/processor.py", "process_data")
dfg = get_dfg_context("src/processor.py", "process_data")
slice_lines = get_slice("src/processor.py", "process_data", target_line=42)
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/parcadei/continuous-claude-v3/tldr-deep">View tldr-deep on skillZs</a>