ai-fixing-errors

ai-fixing-errors is a skill for Claude Code from lebsral/DSPy-Programming-not-prompting-LMs-skills. It costs 116 tokens per session (2,351 once invoked), scanned A, original, no licence file.

A guide to diagnosing and fixing AI features that fail, crash, return unusable results, or behave unexpectedly.

In plain words
What is it for?
Use it to troubleshoot broken AI integrations, invalid JSON, failed requests, crashes, and incorrect responses.
Why use it?
It helps you investigate problems such as timeouts, rate limits, API-key failures, and errors when reading AI output.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the dspy-ops-skills plugin — 8 skills shipped together

Good fit Use it to troubleshoot broken AI integrations, invalid JSON, failed requests, crashes, and incorrect responses.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lebsral/dspy-programming-not-prompting-lms-skills/ai-fixing-errors
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 lebsral/DSPy-Programming-not-prompting-LMs-skills --skill ai-fixing-errors
Clone the repo
git clone --depth 1 https://github.com/lebsral/DSPy-Programming-not-prompting-LMs-skills

Made for: Claude Code.

Or install dspy-ops-skills, the plugin that ships this one along with the rest of its 8 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.

agentmods badge for ai-fixing-errors

README.md
[![agentmods](https://agentmods.dev/badge/skills/lebsral/dspy-programming-not-prompting-lms-skills/ai-fixing-errors/github.svg)](https://agentmods.dev/skills/lebsral/dspy-programming-not-prompting-lms-skills/ai-fixing-errors)
Your own site
<a href="https://agentmods.dev/skills/lebsral/dspy-programming-not-prompting-lms-skills/ai-fixing-errors"><img src="https://agentmods.dev/badge/skills/lebsral/dspy-programming-not-prompting-lms-skills/ai-fixing-errors/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 ai-fixing-errors

Your own site · 80×15
<a href="https://agentmods.dev/skills/lebsral/dspy-programming-not-prompting-lms-skills/ai-fixing-errors"><img src="https://agentmods.dev/badge/skills/lebsral/dspy-programming-not-prompting-lms-skills/ai-fixing-errors.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 116 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,351 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.
Origin unknown 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 $0.00116 $0.02351
Opus 5 $0.00058 $0.01175
Sonnet 5 $0.00023 $0.00470
Haiku 4.5 $0.00012 $0.00235

Measured 12d ago against content hash 800c9be13c03, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ai-fixing-errors 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 12d 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.

skills/ai-fixing-errors/SKILL.md · 251 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

4 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.

  1. 12d ago First seen · 251 lines · 116 tokens per session scan A 800c9be13c03

Subscribe to this mod's changes

ai-fixing-errors is a skill published in the GitHub repository lebsral/DSPy-Programming-not-prompting-LMs-skills (11 stars, last pushed 2mo ago), with no licence file. It adds 116 tokens to every session and 2,351 once invoked, about $0.0006 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.

Related

Other skills, from other repositories

spark-optimization

Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.

wshobson/agents · 37 tokens

architecture-optimization

Guided journey from a working codebase grown slow and tangled to one measurably fast, cleanly bounded, and readable. Orchestrates eight skills phase by phase - working-with-legacy-code, clean-architecture, software-design-philosophy, refactoring-patterns, system-design, ddia-systems, release-it, pragmatic-programmer …

wondelai/skills · 226 tokens

remove-technical-debt

Guided journey from a large aged codebase everyone fears to touch to one that is safe to change, legible, bounded, and resilient - paid down in place without a rewrite. Orchestrates eight skills phase by phase - working-with-legacy-code, refactoring-patterns, clean-code, software-design-philosophy, clean-architecture…

wondelai/skills · 224 tokens

release-it

Build production-ready systems with stability patterns: circuit breakers, bulkheads, timeouts, and retry logic. Use when the user mentions "production outage", "circuit breaker", "deployment pipeline", "chaos engineering", "retry storm", "health checks", "my service keeps crashing", "prevent cascading failures", or…

wondelai/skills · 131 tokens

can

A debugging tool for CAN and CAN-FD, communication systems used by vehicles and embedded devices. It can find interfaces, monitor and send messages, record logs, decode DBC database files, and report bus statistics.

zhinkgit/embeddedskills · 168 tokens

solr-query

To build and debug Solr queries: eDisMax, block join, JSON facets, kNN, explain.

griddynamics/rosetta · 27 tokens