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 ArabelaTso/Skills-4-SE --skill legacy-code-summarizergit clone --depth 1 https://github.com/ArabelaTso/Skills-4-SEWrote 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/arabelatso/skills-4-se/legacy-code-summarizer)<a href="https://agentmods.dev/skills/arabelatso/skills-4-se/legacy-code-summarizer"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/legacy-code-summarizer/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/arabelatso/skills-4-se/legacy-code-summarizer"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/legacy-code-summarizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00088 | $0.05265 |
| Opus 5 | $0.00044 | $0.02632 |
| Sonnet 5 | $0.00018 | $0.01053 |
| Haiku 4.5 | $0.00009 | $0.00526 |
Grade A, and why
legacy-code-summarizer 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.
How it starts
The opening of the file, as written. The whole thing — 784 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Legacy Code Summarizer
Analyze and summarize legacy codebases to quickly understand their structure, quality, and improvement opportunities.
Core Capabilities
This skill helps understand legacy code by:
- Mapping architecture - Identify key components, layers, and relationships
- Analyzing dependencies - Understand module coupling and import patterns
- Detecting quality issues - Find code smells, technical debt, and outdated patterns
- Assessing test coverage - Identify testing gaps and untested code
- Generating documentation - Create actionable summaries for teams
Code Analysis Workflow
Step 1: Survey the Codebase
Get an overview of the project structure and size.
Initial Questions:
- What programming language(s)?
- What is the project structure?
- How large is the codebase?
- What frameworks/libraries are used?
- Is there existing documentation?
Commands to Run:
# Count lines of code
find . -name "*.py" | xargs wc -l | tail -1 # Python
find . -name "*.java" | xargs wc -l | tail -1 # Java
# Count files
find . -name "*.py" | wc -l
find . -name "*.java" | wc -l
# Directory structure
tree -L 3 -I '__pycache__|node_modules|target|build'
# Or without tree command
find . -type d -not -path '*/\.*' | head -20
Identify Project Type:
- Web application (frontend/backend)
- CLI tool
- Library/framework
- Microservice
- Monolith
- Desktop application
Step 2: Identify Entry Points
Find where execution starts and main workflows.
Common Entry Points:
Python:
# Find main entry points
grep -r "if __name__ == '__main__':" --include="*.py"
# Find Flask/Django apps
grep -r "app = Flask\|application = " --include="*.py"
grep -r "INSTALLED_APPS\|MIDDLEWARE" --include="*.py"
# Find CLI entry points (setup.py, pyproject.toml)
grep -A 10 "entry_points\|console_scripts" setup.py pyproject.toml
Java:
# Find main methods
grep -r "public static void main" --include="*.java"
# Find Spring Boot applications
grep -r "@SpringBootApplication" --include="*.java"
# Find servlets
grep -r "extends HttpServlet\|@WebServlet" --include="*.java"
What ships with it
3 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.
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.
- 9d ago First seen · 784 lines · 88 tokens per session scan A 13bb49cefb0e
legacy-code-summarizer is a skill published in the GitHub repository ArabelaTso/Skills-4-SE (252 stars, last pushed 22d ago), licensed Apache-2.0. It adds 88 tokens to every session and 5,265 once invoked, about $0.0004 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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