Cost Health logo

Cost Health

CommunityPopular
ruvnet
cost-health

Composite CI gate — runs cost-budget-check + cost-burn + cost-anomaly + cost-projection in parallel and surfaces a single combined health status with max exit code. The operationally-useful entry point — one shell-out covers all four alert ladders.

Overview

Publisherruvnet
Repositoryruflo
Skill namecost-health
Stars
72.7K
Forks
8.6K
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Cost Health 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.
  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/ruvnet/ruflo.git /tmp/ruflo
mkdir -p .claude/skills
cp -r /tmp/ruflo/plugins/ruflo-cost-tracker/skills/cost-health .claude/skills/cost-health
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cost Health 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 Cost Health 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 Cost Health 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.

The four CI-gate skills (budget / burn / anomaly / projection) each answer a different question. This skill composes them — runs all four IN PARALLEL, returns max(exit_codes), prints a one-line summary per check.

SubcheckQuestionDefault threshold
budget"Have we crossed the configured budget?"HARD_STOP at 100%
burn"Is daily burn accelerating?"+100% vs prior-week mean
anomaly"Is any specific session a >3.5σ outlier?"≥1 outlier
projection"When will we hit 100% of budget?"<14 days

Algorithm

Implementation: scripts/health.mjs.

  1. Spawn all four subcheck scripts in parallel (Promise.all over child_process.spawn).
  2. Each subcheck emits --format json; parse and capture exit code.
  3. Projection has no built-in exit code — synthesize one from daysUntilReached[100%] < --alert-days-to-exhaust.
  4. Final exit code = max(subcheck exits). Any single failure fails the gate.
  5. Print one-line summary per check + overall HEALTHY/UNHEALTHY badge.

CI integration

yaml
- name: Cost health gate
  run: cost health --alert-acceleration 100 --alert-outliers 1

A single step covers four alert ladders. Before this skill you'd wire four separate gates that each duplicated the npx + memory-list overhead; now it's one shell-out (and the four subcheck npx calls run in parallel internally).

Customizing thresholds

bash
# Quarterly review — stricter thresholds
cost health --alert-acceleration 50 --alert-outliers 1 --alert-days-to-exhaust 30

# Production drift gate — only fire on egregious changes
cost health --alert-acceleration 200 --alert-outliers 3 --alert-days-to-exhaust 7

# Skip the slow burn check during a smoke run
cost health --skip burn

Smoke transcript (5 healthy sessions, then add 1 outlier)

# Healthy
Overall: ✓ HEALTHY (max exit code 0)
| Check | Status | Detail |
| budget | ✓ | unknown — no budget configured |
| burn | ✓ | delta within ±100% |
| anomaly | ✓ | 0 outliers — under threshold ≥1 |
| projection | ✓ | no budget configured — skipping |

# After adding $5 outlier (vs $0.10 baseline)
Overall: ⚠ UNHEALTHY (max exit code 1)
| burn | ⚠ | ALERT 5163.2% acceleration: latest bucket $5.00 is 5163.2% above prior mean $0.095 |
| anomaly | ⚠ | ALERT 1 outlier (|z|>3.5) |

Skipping subchecks

bash
cost health --skip burn,projection   # only budget + anomaly

Useful when:

  • A subcheck doesn't apply (no budget set → skip projection)
  • A subcheck is too slow for fast-feedback contexts (smoke runs)
  • A subcheck is being independently CI-gated already

Exit code semantics

ExitMeaning
0All subchecks OK
1At least one subcheck fired an alert (budget HARD_STOP, burn drift, anomaly outlier, projection imminent-exhaust)
2A subcheck had a config/usage error (e.g. invalid CLI args propagated to a subscript)
127A subcheck failed to launch (script missing, etc.)

max() means the worst signal wins — exit 2 (config error) always dominates exit 1 (alert), so you spot misconfigured pipelines before they masquerade as healthy.

Frequently asked questions

What does the Cost Health AI skill do?

Composite CI gate — runs cost-budget-check + cost-burn + cost-anomaly + cost-projection in parallel and surfaces a single combined health status with max exit code. The operationally-useful entry point — one shell-out covers all four alert ladders.

Why use Cost Health on TypingMind?

Because you install it once and use it with any model. Cost Health 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 Cost Health in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-cost-tracker/skills/cost-health. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cost Health?

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 Cost Health?

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

Is the Cost Health AI skill free?

Yes. It is published on GitHub by ruvnet 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇