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.
curl -O https://raw.githubusercontent.com/aaddrick/claude-pipeline/main/.claude/skills/improvement-loop/SKILL.mdgit clone --depth 1 https://github.com/aaddrick/claude-pipelineWrote 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/aaddrick/claude-pipeline/improvement-loop)<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="Measured on agentmods" 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 | $0.00048 | $0.02265 |
| Opus 5 | $0.00024 | $0.01132 |
| Sonnet 5 | $0.00010 | $0.00453 |
| Haiku 4.5 | $0.00005 | $0.00227 |
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 8d 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 — 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
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.
- 8d ago First seen · 219 lines · 48 tokens per session scan A a9324e86191a
improvement-loop is a skill published in the GitHub repository aaddrick/claude-pipeline (128 stars, last pushed 6mo ago), licensed MIT. It adds 48 tokens to every session and 2,265 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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