claude-pipeline: Skill for Claude Code

.claude/skills/improvement-loop/SKILL.md

improvement-loop is a skill for Claude Code from aaddrick/claude-pipeline. It costs 48 tokens per session (2,265 once invoked), scanned A, original, MIT.

A workflow for improving the coding-agent pipeline after a bug, failed task, or unexpected agent result has been resolved. It examines whether the underlying skills, agents, hooks, or scripts should be updated.

In plain words
What is it for?
Use it to decide whether a resolved problem justifies a permanent change to the project’s automation instructions or supporting scripts.
Why use it?
It prevents the same pipeline problem from recurring by recording useful lessons only after the original issue is understood and fixed.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions subagents.

This is aaddrick/claude-pipeline's own configuration. It tells Claude Code how to work on claude-pipeline itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything claude-pipeline configures →

Reuse

Borrowing it

Nothing to install: this file belongs to aaddrick/claude-pipeline. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/aaddrick/claude-pipeline/main/.claude/skills/improvement-loop/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/aaddrick/claude-pipeline

Made for: Claude Code.

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 improvement-loop

README.md
[![agentmods](https://agentmods.dev/badge/skills/aaddrick/claude-pipeline/improvement-loop/github.svg)](https://agentmods.dev/skills/aaddrick/claude-pipeline/improvement-loop)
Your own site
<a href="https://agentmods.dev/skills/aaddrick/claude-pipeline/improvement-loop"><img src="https://agentmods.dev/badge/skills/aaddrick/claude-pipeline/improvement-loop/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 improvement-loop

Your own site · 80×15
<a href="https://agentmods.dev/skills/aaddrick/claude-pipeline/improvement-loop"><img src="https://agentmods.dev/badge/skills/aaddrick/claude-pipeline/improvement-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,265 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 $0.00048 $0.02265
Opus 5.5 $0.00019 $0.00906
Sonnet 5.5 $0.00010 $0.00453
Haiku 4.5 $0.00005 $0.00227

Measured 2mo ago against content hash a9324e86191a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

improvement-loop 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 2mo 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.

.claude/skills/improvement-loop/SKILL.md · 219 lines

How it starts

The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.

The Improvement Loop

Overview

Improve the .claude/ pipeline after resolving the issue at hand — never during. When a skill, agent, hook, or script produces bad output, work through to the correct solution first, then update the pipeline with what you learned.

Core principle: Fix first, understand fully, improve last. Premature edits encode partial understanding.

When to Use

digraph when_to_use {
    "Issue resolved successfully?" [shape=diamond];
    "Root cause in pipeline file?" [shape=diamond];
    "Worth encoding permanently?" [shape=diamond];
    "Run improvement cycle" [shape=box style=filled fillcolor=lightgreen];
    "Keep working on the issue" [shape=box];
    "Skip - not a pipeline problem" [shape=box];
    "Skip - one-off or too specific" [shape=box];

    "Issue resolved successfully?" -> "Root cause in pipeline file?" [label="yes"];
    "Issue resolved successfully?" -> "Keep working on the issue" [label="no - finish first"];
    "Root cause in pipeline file?" -> "Worth encoding permanently?" [label="yes"];
    "Root cause in pipeline file?" -> "Skip - not a pipeline problem" [label="no"];
    "Worth encoding permanently?" -> "Run improvement cycle" [label="yes"];
    "Worth encoding permanently?" -> "Skip - one-off or too specific" [label="no"];
}

Trigger conditions (suggest to user):

  • An agent produced incorrect output that required manual correction
  • A skill was missing guidance that caused a wrong approach
  • The same mistake has occurred more than once across sessions
  • A hook failed to catch something it should have
  • An orchestration script hit an unhandled edge case
  • A subagent asked questions that the agent definition should have answered
  • Review feedback repeatedly flags the same class of issue

Do NOT trigger:

  • While still debugging or iterating on the original issue
  • For one-off problems unlikely to recur
  • For issues outside the pipeline (user error, external service failures)
  • When the fix is a code change, not a pipeline change

Read the full file on GitHub · 219 lines

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. 2mo ago First seen · 219 lines · 48 tokens per session scan A a9324e86191a

Subscribe to this mod's changes

improvement-loop is a skill published in the GitHub repository aaddrick/claude-pipeline (130 stars, last pushed 8mo ago), licensed MIT. It adds 48 tokens to every session and 2,265 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.

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