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Pr Threshold

Organization
WellApp-ai
pr-threshold

Track commit accumulation and trigger PR when thresholds crossed

Overview

PublisherWellApp-ai
RepositoryWell
Skill namepr-threshold
Stars
342
Forks
48
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 WellApp-ai on GitHub. Read the source before you install it.

Installation

Install the Pr Threshold 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/WellApp-ai/Well.git /tmp/Well
mkdir -p .claude/skills
cp -r /tmp/Well/cursor-rules/skills/pr-threshold .claude/skills/pr-threshold
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pr Threshold 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 Pr Threshold 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 Pr Threshold 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.

PR Threshold Skill

Monitor accumulated commits and metrics to determine when a PR should be pushed for human review. Prevents PRs from becoming too large or complex for effective review.

When to Use

  • After each successful git commit
  • During Agent Mode commit-level workflow
  • Manually with "use pr-threshold skill"

Thresholds

MetricTrigger ValueRationale
Lines of Code> 300Human cognitive limit
Files Changed> 10Context switching cost
Commits> 5Review complexity
Risk ScoreHIGHNeeds careful review
Scope Completion100%Feature complete

Phase 1: Gather Metrics

1.1 Lines of Code

bash
git diff origin/develop --stat | tail -1

Extract: insertions + deletions

1.2 Files Changed

bash
git diff origin/develop --name-only | wc -l

1.3 Commit Count

bash
git rev-list origin/develop..HEAD --count

1.4 Risk Score

Sum of risk from pr-review across all commits:

  • LOW = 1
  • MEDIUM = 2
  • HIGH = 3

1.5 Scope Completion

From Commit Plan:

  • Total commits planned: N
  • Commits completed: M
  • Completion: M/N * 100%

Phase 2: Evaluate Thresholds

markdown
## PR Threshold Check

| Metric | Current | Threshold | Status |
|--------|---------|-----------|--------|
| Lines of Code | [N] | 300 | OK/CROSSED |
| Files Changed | [N] | 10 | OK/CROSSED |
| Commits | [N] | 5 | OK/CROSSED |
| Risk Score | [N] | HIGH | OK/CROSSED |
| Scope Completion | [N]% | 100% | OK/CROSSED |

Phase 3: Determine Action

CONTINUE (No threshold crossed)

markdown
## Verdict: CONTINUE

No thresholds crossed. Proceeding to next commit.

### Current Accumulation:
- LOC: [N]/300
- Files: [N]/10
- Commits: [N]/5
- Scope: [N]%

### Next Commit:
[Name of next commit from plan]

TRIGGER_PR (Threshold crossed)

markdown
## Verdict: TRIGGER_PR

**Threshold crossed:** [Which metric(s)]

### Recommendation:
Push PR now for human review before continuing.

### PR Scope:
- Commits: [List of commit names]
- Total LOC: [N]
- Files: [N]
- Risk: [LOW/MEDIUM/HIGH]

### Remaining Work:
- Commits left: [N]
- Features incomplete: [List]

**Proceed to push-pr mode?** (Yes / Continue anyway)

BLOCK (Threshold crossed, no override)

If threshold crossed and user has NOT provided explicit override:

markdown
## Verdict: BLOCK

**Threshold crossed:** [Which metric(s)]

IMPLEMENTATION PAUSED - User decision required.

| Option | Action |
|--------|--------|
| A | Push PR now (recommended) |
| B | Continue anyway (override logged) |

Reply with A or B to proceed.

Do NOT continue until user responds. This is a hard stop per 00-hard-rules.mdc.

Phase 4: Handle Decision

If TRIGGER_PR

  1. Present metrics summary
  2. Recommend push-pr mode
  3. If user approves: Switch to push-pr mode
  4. If user continues: Log override, proceed

If CONTINUE

  1. Proceed to next commit in plan
  2. Update accumulated metrics

Threshold Overrides

User can override thresholds with explicit confirmation:

markdown
**Warning:** LOC threshold exceeded (350/300).

Continuing without PR may make review harder.

**Override and continue?** (Yes / Push PR now)

Log overrides for later review.

Integration

This skill is invoked by:

  • agent.mdc - After each successful commit
  • commit.mdc - After commit completes

Metrics Storage

Track across commits:

Accumulated Metrics:
- Total LOC: [running sum]
- Total Files: [unique count]
- Commit Count: [N]
- Highest Risk: [LOW/MEDIUM/HIGH]
- Started: [timestamp]

Reset after successful PR push.

Output Format

markdown
## PR Threshold Status

**Verdict:** [CONTINUE / TRIGGER_PR]

| Metric | Value | Threshold | % |
|--------|-------|-----------|---|
| LOC | [N] | 300 | [N]% |
| Files | [N] | 10 | [N]% |
| Commits | [N] | 5 | [N]% |
| Scope | [N]% | 100% | [N]% |

[Action recommendation]

Invocation

Invoked automatically after each commit, or manually with "use pr-threshold skill".

Frequently asked questions

What does the Pr Threshold AI skill do?

Track commit accumulation and trigger PR when thresholds crossed

Why use Pr Threshold on TypingMind?

Because you install it once and use it with any model. Pr Threshold 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 Pr Threshold in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/pr-threshold. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pr Threshold?

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 Pr Threshold?

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

Is the Pr Threshold AI skill free?

Yes. It is published on GitHub by WellApp-ai 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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