runtime-budget-fail

runtime-budget-fail is a skill for Claude Code, Codex from luongnv89/asm. It costs 39 tokens per session (64 once invoked), scanned A, original, MIT.

No usable information is provided beyond the name.

In plain words
What is it for?
Its purpose cannot be stated reliably from the available information.
Why use it?
The description is too thin to identify a real problem it solves.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/luongnv89/asm/runtime-budget-fail
Any agent
npx skills add luongnv89/asm --skill runtime-budget-fail
Clone the repo
git clone --depth 1 https://github.com/luongnv89/asm

Made for: Claude Code, Codex.

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 runtime-budget-fail

README.md
[![agentmods](https://agentmods.dev/badge/skills/luongnv89/asm/runtime-budget-fail.svg)](https://agentmods.dev/skills/luongnv89/asm/runtime-budget-fail)
Your own site
<a href="https://agentmods.dev/skills/luongnv89/asm/runtime-budget-fail"><img src="https://agentmods.dev/badge/skills/luongnv89/asm/runtime-budget-fail.svg" alt="Measured on agentmods" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 64 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00039 $0.00064
Opus 5 $0.00019 $0.00032
Sonnet 5 $0.00008 $0.00013
Haiku 4.5 $0.00004 $0.00006

Measured 4d ago against content hash aa35c2ab1e2b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

runtime-budget-fail 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 4d 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.

src/eval/providers/skill-best-practice/v1/fixtures/runtime-budget-fail/SKILL.md · 8 lines

The source is not reproduced here

Licensed MIT

The repository is licensed MIT, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 4d ago First seen · 8 lines · 39 tokens per session scan A aa35c2ab1e2b

Subscribe to this mod's changes

runtime-budget-fail is a skill published in the GitHub repository luongnv89/asm (908 stars, last pushed today), licensed MIT. It adds 39 tokens to every session and 64 once invoked, about $0.0002 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 2026-08-30.

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