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Regression Alert

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hoangsonww
regression-alert

Compare this period's reliability against the prior period using Agent Monitor data — error rate (APIError/total) and tool-failure rate (PreToolUse→PostToolUse gap) — flag any regression where reliability got worse, and optionally wire a persistent alert rule so the dashboard catches the next regression automatically. Use when checking whether reliability degraded.

Overview

Publisherhoangsonww
RepositoryClaude-Code-Agent-Monitor
Skill nameregression-alert
Stars
1.1K
Forks
260
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by hoangsonww on GitHub. Read the source before you install it.

Installation

Install the Regression Alert AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-quality/skills/regression-alert
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git /tmp/Claude-Code-Agent-Monitor
mkdir -p .claude/skills
cp -r /tmp/Claude-Code-Agent-Monitor/plugins/ccam-quality/skills/regression-alert .claude/skills/regression-alert
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Regression Alert in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Regression Alert on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Regression Alert is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Regression Alert

Detect whether Claude Code reliability is getting worse period-over-period, and optionally arm an alert so it never has to be checked by hand again. Scope is reliability/failures only — for cache/cost/compaction drift, use ccam-insights' regression-watch instead.

Input

The user provides: $ARGUMENTS

This may be:

  • empty or "all" — check error rate and tool-failure rate (default)
  • "errors" — APIError-rate regression only
  • "tools" — tool-failure-rate regression only
  • a window like "7 vs 7" or "30 vs 30" — recent vs baseline window sizes (default: last 7 days vs the prior 7)
  • "arm" — after reporting, also create an alert rule via POST /api/alerts/rules (only on explicit request)

Data Sources

EndpointReturns
GET /api/analyticsdaily_events (365d), daily_sessions (365d), event_types — split into recent vs baseline windows to compute per-window failure rates
GET /api/events?session_id=XPer-session stream — localize a regression to the sessions driving it
GET /api/alerts/rulesExisting alert rules — check whether a matching reliability rule already exists before arming a new one
POST /api/alerts/rulesCreate a new alert rule (only when the user says "arm")

Report Sections

1. Windowing

Split history into a recent window (newer) and a baseline window (the equal-length period just before it). Default: recent = last 7 days, baseline = the prior 7. Use daily_events/daily_sessions to bucket counts by day.

2. Error-Rate Regression

  • Per window: error rate = APIError count / total events.
  • Compare recent vs baseline. Flag if recent is higher. Report absolute change (pp) and relative change (%), plus the recent sessions contributing the most APIError events.

3. Tool-Failure-Rate Regression

  • Per window: tool-failure rate = (PreToolUse − PostToolUse) / PreToolUse.
  • Compare recent vs baseline. Flag a rising rate as a reliability regression. Name the tools whose gap grew most.

4. Verdict

Roll up which rates regressed, rank by relative worsening, and name the most likely driver.

5. Optional — Arm an Alert

Only if the user passed "arm". First GET /api/alerts/rules to avoid duplicates. Then POST /api/alerts/rules with a rule that fires when the regressed metric crosses a threshold near the recent value (e.g., error rate > recent rate). Echo the created rule back; do not create webhooks or fire alerts.

Output

  • A Markdown table: metric | baseline | recent | Δ (pp) | Δ (%) | direction (▲ worse / ▼ better) | verdict.
  • Tag each metric 🔴 (clear regression), 🟡 (within noise), or 🟢 (improved).
  • Rates as percentages to 2 decimals; any currency in USD to 4 decimals.
  • List the specific session IDs that contributed most to any regression.
  • End with the single highest-priority regression and a concrete next step (and, if armed, the new rule's id/threshold).
  • Read-only except the explicit "arm" path, which is the only write. Never mutate alert rules otherwise. If curl cannot reach http://localhost:4820, tell the user to start the dashboard with npm start from the repo root.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Regression Alert AI skill do?

Compare this period's reliability against the prior period using Agent Monitor data — error rate (APIError/total) and tool-failure rate (PreToolUse→PostToolUse gap) — flag any regression where reliability got worse, and optionally wire a persistent alert rule so the dashboard catches the next regression automatically. Use when checking whether reliability degraded.

Why use Regression Alert on TypingMind?

Because you install it once and use it with any model. Regression Alert is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Regression Alert in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-quality/skills/regression-alert. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Regression Alert?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Regression Alert?

As many as you like. As long as a model supports skills, you can use Regression Alert with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Regression Alert AI skill free?

Yes. It is published on GitHub by hoangsonww under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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