goal-calculator-repair

goal-calculator-repair is a skill for Claude Code, Codex from zhnt/loushang. It costs 16 tokens per session (233 once invoked), scanned A, original, Apache-2.0.

A constrained repair procedure for a fixed integer calculator, using the latest requirement and validation failure as evidence. It preserves the existing function signatures and permitted syntax.

In plain words
What is it for?
Use it to inspect the calculator, make an allowed correction, describe the change, and report unresolved requirements when the evidence is insufficient.
Why use it?
It keeps a repair focused on the current failure instead of relying on old results, changing tests, or claiming success without independent validation.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to inspect the calculator, make an allowed correction, describe the change, and report unresolved requirements when the evidence is insufficient.

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Install with agentmods
npx agentmods add skills/zhnt/loushang/goal-calculator-repair
About the project

Loushang is an AI work system for carrying complex tasks from an initial intention through execution and verified delivery, with a coding-focused CLI and terminal workbench. It is for software developers who need routed models, persistent sessions, governed tools, and traceable workflows. Catalogue add-ons support its coding workflow.

zhnt/loushang · 1,905 stars · on GitHub

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 zhnt/loushang --skill goal-calculator-repair
Clone the repo
git clone --depth 1 https://github.com/zhnt/loushang

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 goal-calculator-repair

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhnt/loushang/goal-calculator-repair/github.svg)](https://agentmods.dev/skills/zhnt/loushang/goal-calculator-repair)
Your own site
<a href="https://agentmods.dev/skills/zhnt/loushang/goal-calculator-repair"><img src="https://agentmods.dev/badge/skills/zhnt/loushang/goal-calculator-repair/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.

agentmods 80×15 button for goal-calculator-repair

Your own site · 80×15
<a href="https://agentmods.dev/skills/zhnt/loushang/goal-calculator-repair"><img src="https://agentmods.dev/badge/skills/zhnt/loushang/goal-calculator-repair.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 233 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.
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 5.1 $0.00016 $0.00233
Opus 5.5 $0.00006 $0.00093
Sonnet 5.5 $0.00003 $0.00047
Haiku 4.5 $0.00002 $0.00023

Measured today against content hash 2471279d8052, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

goal-calculator-repair 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 today.

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.

examples/coding/goal_calculator/methods/task/goal-calculator-repair/SKILL.md · 28 lines

What it actually says

Use the current requirement revision and the most recent actual validation failure supplied in this Work batch. Do not infer success from an older report. Read the project files with the existing Coding file tools. Do not invoke a second executor, modify tests or Method, or claim that your reply completes the Goal. Preserve both fixed function signatures and use only the admitted syntax.

The Product performs independent validation after this repair Work. Describe what changed and any unresolved requirement; if the evidence or permitted capabilities are insufficient, report that instead of changing the contract.

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. today First seen · 28 lines · 16 tokens per session scan A 2471279d8052

Subscribe to this mod's changes

goal-calculator-repair is a skill published in the GitHub repository zhnt/loushang (1,905 stars, last pushed yesterday), licensed Apache-2.0. It adds 16 tokens to every session and 233 once invoked, about $0.0001 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 2026-10-29.

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