What is roast-my-computer?

A local report generator that scans a developer's computer and presents findings about clutter, abandoned projects, Git habits, unused tools, and possible secret leaks.

It reviews developer folders, downloads, desktop files, source code, dotfiles, credentials, dependencies, and old reports, then creates an HTML report.

It helps reveal maintenance and privacy risks spread across folders and projects, while keeping the scan data and report on the computer.

roast-my-computer — Skill for Claude Code and Codex by thedavidweng

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 thedavidweng/skills --skill roast-my-computer

Clone the repo

git clone --depth 1 https://github.com/thedavidweng/skills

Made for: Claude Code, Codex.

Or install david-skills, the plugin that ships this one along with the rest of its 18 skills.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/thedavidweng/skills/roast-my-computer/github.svg)](https://agentmods.dev/skills/thedavidweng/skills/roast-my-computer)

Your own site

<a href="https://agentmods.dev/skills/thedavidweng/skills/roast-my-computer"><img src="https://agentmods.dev/badge/skills/thedavidweng/skills/roast-my-computer/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/thedavidweng/skills/roast-my-computer"><img src="https://agentmods.dev/badge/skills/thedavidweng/skills/roast-my-computer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 351 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

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high Memory Poisoning · line 93
Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.

Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
medium Excessive Agency · line 135
Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00044	$0.00351
Opus 5.5	$0.00018	$0.00140
Sonnet 5.5	$0.00009	$0.00070
Haiku 4.5	$0.00004	$0.00035

Measured 1mo ago against content hash e44c716d54ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

roast-my-computer 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/scan_dev_environment.py), 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.

maintenance/roast-my-computer/SKILL.md · 16 lines

What it actually says

Local-only. Memory, paths, credentials, and reports stay private; secrets redacted. Hard rules: references/PRIVACY_RULES.md.

Scope. project (cwd, safe to run) or global (memory roots + platform defaults from references/DIRECTORY_TARGETS.md; needs approval). /Applications is excluded unless the user adds it.
Scan. python3 scripts/scan_dev_environment.py --scope <project|global> --output "${TMPDIR:-/tmp}/roast-my-computer/scan.json". Other flags and budgets: --help. The JSON (references/REPORT_SCHEMA.md) is the source of truth for every count, path, and score (references/SCORING.md).
Write. Roast copy per references/ROAST_WRITER_PROMPT.md and references/ROAST_STYLE.md; never change a number from the scan.
Render. One static HTML file per references/HTML_REPORT_FORMAT.md in the same directory, then open it. Note scan truncation in the report.

Triage: public-key names drop to low, test fixtures cap at medium, editor caches keep severity but get tagged, because cleanup differs per kind.

Cleanup: propose exact commands, require confirmation, quarantine over deletion. Never auto-remove repos, password stores, browser profiles, .ssh/.aws/.kube.

Files

What ships with it

9 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.

1mo ago Changed · +7 lines · -7 tokens per session e44c716d54ed
1mo ago Changed · -146 lines · -27 tokens per session 5b11bf80b7cb
2mo ago First seen · 155 lines · 78 tokens per session scan A eb3df947f46f

Subscribe to this mod's changes

roast-my-computer is a skill published in the GitHub repository thedavidweng/skills (11 stars, last pushed 8d ago), licensed MIT. It adds 44 tokens to every session and 351 once invoked, about $0.0002 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 2026-08-30.

Productivity Security

roast-my-computer next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
roast-my-computerthedavidweng/skills	Skill	11	8d ago	MIT	A	44	Claude Code, Codex
orbit-notionnexu-io/open-design	Skill	106k	yesterday	Apache-2.0	A	117	Claude Code, Codex
agentmailpaperclipai/paperclip	Skill	111k	yesterday	MIT	A	30	Claude Code, Codex
Cortexdanielmiessler/LifeOS	Skill	20k	yesterday	MIT	A	184	Claude Code
rowboat-spacesrowboatlabs/rowboat	Skill	18k	yesterday	Apache-2.0	A	60	Claude Code, Codex
feishuHmbown/CodeWhale	Skill	41k	6d ago	MIT	A	33	Claude Code, Codex
pinchtab-mcppinchtab/pinchtab	Skill	11k	10d ago	MIT	A	52	Claude Code, Codex