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 oborchers/fractional-cto --skill dead-code-intolerancegit clone --depth 1 https://github.com/oborchers/fractional-ctoWrote 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/oborchers/fractional-cto/dead-code-intolerance)<a href="https://agentmods.dev/skills/oborchers/fractional-cto/dead-code-intolerance"><img src="https://agentmods.dev/badge/skills/oborchers/fractional-cto/dead-code-intolerance/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/oborchers/fractional-cto/dead-code-intolerance"><img src="https://agentmods.dev/badge/skills/oborchers/fractional-cto/dead-code-intolerance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00066 | $0.02515 |
| Opus 5.5 | $0.00026 | $0.01006 |
| Sonnet 5.5 | $0.00013 | $0.00503 |
| Haiku 4.5 | $0.00007 | $0.00251 |
Grade A, and why
dead-code-intolerance 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 5d 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 — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.
If It Is Not Executing, It Is Not Code -- It Is Noise
Dead code is not harmless. It is actively harmful. It confuses new developers who do not know whether it is intentional. It gets updated during refactors by people who do not realize it is unused. It triggers false positives in grep and IDE searches. It creates the illusion of complexity where none exists. And it tells every reader: "The author of this codebase does not clean up after themselves."
Version control exists. Git remembers everything. You do not need to.
Delete it.
Commented-Out Code: Never
Commented-out code is not "kept for reference." It is not "just in case." It is not "might need later." It is dead weight that tells the reader nothing useful and everything bad. If you need the old implementation, git log has it. If you need to compare approaches, create a branch. If you think you might need it tomorrow, you will not. And if you do, git log still has it.
Zero exceptions. Not even one line. Not even "temporarily." The moment code is commented out, it starts rotting -- the surrounding code evolves, the commented code does not, and within a week it no longer works anyway.
# BAD -- every one of these must be deleted
# user = get_user(user_id)
# if user.is_admin:
# return admin_dashboard()
# Old implementation (keeping for reference)
# def calculate_tax(amount):
# return amount * 0.08
# Commented out until we fix the race condition
# await sync_inventory()
# GOOD -- the code that exists is the code that runs. Nothing else.
user = get_user(user_id)
if user.is_admin:
return admin_dashboard()
Unused Imports: Delete Immediately
An unused import is a lie. It tells the reader "this module is used here" when it is not. It increases startup time. It creates false dependency graphs. And "but I might need it later" is what autocomplete is for.
// BAD -- three of these imports are unused
import { useState, useEffect, useCallback, useMemo, useRef } from "react";
import { format } from "date-fns";
import { clsx } from "clsx";
function Counter() {
const [count, setCount] = useState(0); // only useState is used
return <button onClick={() => setCount(count + 1)}>{count}</button>;
}
What ships with it
1 file 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.
- 5d ago First seen · 268 lines · 66 tokens per session scan A e107e47052f9
dead-code-intolerance is a skill published in the GitHub repository oborchers/fractional-cto (32 stars, last pushed 5d ago), licensed MIT. It adds 66 tokens to every session and 2,515 once invoked, about $0.0003 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 2026-10-13.
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