Ring:Using Assert logo

Ring:Using Assert

Organization
LerianStudio
ring:using-assert

Using lib-observability/assert, Lerian's runtime assertion package, in two modes. Sweep Mode detects panic()/log.Fatal zero-panic violations, DIY invariant checks, hand-rolled domain predicates, and missing InitAssertionMetrics. Reference Mode catalogs the asserter lifecycle, domain predicates, observability trident, AssertionError unwrapping, and the panic-vs-assert-vs-error decision tree. Go-only. Skip for non-Go or frontend code.

Overview

PublisherLerianStudio
Repositoryring
Skill namering:using-assert
Stars
215
Forks
28
Bundled files
2
LicenseApache-2.0
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Ring:Using Assert 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/LerianStudio/ring.git /tmp/ring
mkdir -p .claude/skills
cp -r /tmp/ring/dev-team/skills/using-assert .claude/skills/lerianstudio-ring-using-assert
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ring:Using Assert 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 Ring:Using Assert 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 Ring:Using Assert 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.

ring:using-assert

Moved from lib-commons

The canonical home for this package is now github.com/LerianStudio/lib-observability/assert. It lived in github.com/LerianStudio/lib-commons/v4/commons/assert and github.com/LerianStudio/lib-commons/v5/commons/assert through the v4 and v5 shim period; lib-commons v5 still re-exports every symbol via type aliases and thin wrappers for backward compatibility, but every type and function in lib-commons/v5/commons/assert is marked Deprecated: and delegates to lib-observability/assert. New code MUST import github.com/LerianStudio/lib-observability/assert. Existing imports continue to compile during the deprecation window — there are no behavior changes, only an import-path move.

When to use

Sweep mode:

  • "Sweep the codebase for lib-observability/assert opportunities"
  • "Audit this service for zero-panic policy compliance"
  • "Find panic()/log.Fatal violations"
  • "Replace DIY invariant checks with lib-observability/assert"

Reference mode:

  • "What's the signature for assert.DebitsEqualCredits?"
  • "How do I initialize assertion metrics?"
  • "Should I panic, assert, or return an error here?"
  • "How do I unwrap AssertionError in a Fiber error handler?"

Skip when

  • Working on non-Go services
  • Working on frontend code
  • Target codebase is Ring itself

Related

Similar: ring:using-lib-observability, ring:using-runtime Compatibility: ring:using-lib-commons (covers the v5 deprecation shim and re-export aliases)

Mode Selection

Request ShapeMode
"Sweep / audit for assert opportunities"Sweep
"Find panic()/log.Fatal() violations"Sweep
"What's the signature for X?"Reference
"Should I panic, assert, or return error?"Reference

SWEEP MODE

4-phase sweep. Each phase has a hard gate — do not proceed until the current phase produces its artifact.

Phase 1: Version Reconnaissance   → assert-version-report.json
Phase 2: CHANGELOG Delta Analysis → assert-delta-report.json
Phase 3: Multi-Angle DIY Sweep    → 6 × assert-sweep-{N}-{angle}.json
Phase 4: Consolidated Report      → assert-sweep-report.md + assert-sweep-tasks.json

Phase 1: Version Reconnaissance

  1. Read go.mod — extract pinned versions of github.com/LerianStudio/lib-observability and (if present) github.com/LerianStudio/lib-commons/vN. Either import path is valid: lib-observability is canonical; lib-commons/v5/commons/assert is a deprecation shim that re-exports the same symbols.
  2. WebFetch https://api.github.com/repos/LerianStudio/lib-observability/releases/latest — extract tag_name. Also fetch the lib-commons release tag for shim consumers.
  3. Classify drift: up-to-date / minor-drift / moderate-drift / major-upgrade / module-mismatch. Treat "imports lib-commons assert shim" as module-mismatch for new code — the recommended migration is to switch the import to lib-observability/assert.
  4. Emit /tmp/assert-version-report.json: {pinned_observability_version, pinned_commons_version, latest_observability_version, drift_classification, major_upgrade_required, module_path, uses_shim}

Phase 2: CHANGELOG Delta Analysis

  1. WebFetch https://raw.githubusercontent.com/LerianStudio/lib-observability/main/CHANGELOG.md
  2. Filter entries between pinned_observability_version and latest_observability_version that affect assert
  3. Classify: new-predicate / new-method / breaking-change / security-fix / bugfix
  4. Emit /tmp/assert-delta-report.json

Phase 3: Multi-Angle DIY Sweep

⛔ STOP-CHECK BEFORE DISPATCH

Before emitting any Task call, count the explorers you intend to launch in this turn.

  • Count MUST equal 6.
  • If count < 6 → STOP. Do not partial-dispatch. Reconcile against the 6 angles below and try again.
  • The 6 angles are the canonical sweep. No substitutions, no omissions.

⛔ MUST NOT trickle-dispatch

All 6 explorers leave in the SAME TURN, before reading any explorer output.

Forbidden sequences:

  • Dispatch explorer 1 → read result → dispatch explorer 2
  • Dispatch a subset → wait → dispatch the rest
  • Dispatch follow-up explorers conditioned on partial output
  • Loop sequentially over the angle list

If you find yourself about to dispatch an explorer in a turn AFTER any explorer has already returned a result → STOP. You violated parallel dispatch. Report the violation and mark the phase INCOMPLETE rather than completing the trickle.

Self-verify after dispatch

After the dispatch turn, verify all 6 Task calls were emitted in that single turn. If fewer than 6 went out, the phase did NOT execute correctly. Mark INCOMPLETE and surface the dispatch failure — do NOT silently continue with a partial pool.

Parallel dispatch — atomic batch

Emit all 6 Task calls in a SINGLE TURN, as one atomic batch.

If your runtime exposes a multi_tool_use.parallel wrapper, use it to dispatch the complete pool in one wrapped invocation. This is the canonical fan-out mechanism on OpenAI-style tool envelopes and on certain Anthropic SDK consumers — naming it explicitly activates parallel emission on runtimes where trickle-dispatch is the default behavior.

If your runtime emits parallel tool_use blocks natively (Claude Code with Claude models), multi_tool_use.parallel may not be needed — but naming it is harmless and serves as an enforcement anchor.

The STOP-CHECK, anti-trickle, and self-verify guards above remain binding regardless of which mechanism your runtime uses.

Dispatch all 6 explorer angles in one parallel batch. Wait for all before Phase 4.

Per-explorer dispatch (subagent_type: ring:codebase-explorer):

## Target: <absolute path>
## Your Angle: <angle number + name>
## Severity Calibration / DIY Patterns / Replacement / Migration Complexity / Version Context
<verbatim from sub-files/sweep-angles.md for this angle>

## Output
Write to: /tmp/assert-sweep-{N}-{angle-slug}.json
Schema: { angle_number, angle_name, severity, migration_complexity,
  findings: [{file, line, diy_pattern, replacement, evidence_snippet, notes}],
  summary, requires_major_upgrade }
If no findings: write file with empty findings array.

Full angle specifications: sub-files/sweep-angles.md

The 6 angles cover:

  1. panic() in non-test code (CRITICAL)
  2. Defensive nil/empty checks without metric emission (HIGH)
  3. Hand-rolled domain predicates duplicating assert.* (HIGH)
  4. Missing InitAssertionMetrics at startup (HIGH)
  5. Financial invariants in tests only, not production (CRITICAL)
  6. AssertionError not unwrapped in error boundaries (MEDIUM)

Phase 4: Consolidated Report

Dispatch synthesizer to read all 6 explorer files and emit:

  1. /tmp/assert-sweep-report.md — aggregate findings by severity
  2. /tmp/assert-sweep-tasks.json — one task per DIY pattern cluster

Surface report path + task count; offer handoff to ring:running-dev-cycle.


REFERENCE MODE

Full API reference in sub-files/reference.md. Load sections relevant to your task.

Quick Navigation

#SectionWhat you'll find
1API SurfaceExported symbols, signatures
2Asserter LifecycleScoping, naming, anti-patterns
3Instance MethodsThat / NotNil / NotEmpty / NoError / Never / Halt
4Domain Predicate CatalogNumeric / financial / state-machine / network / time
5Composition PatternPure predicates + observable asserter
6Observability TridentLog + span event + metric on every failure
7AssertionError UnwrappingError boundary patterns
8Decision Treepanic vs assert vs error
9Testing PatternsProving assertions fire
10Anti-Pattern CatalogSix anti-patterns
11Bootstrap OrderInitAssertionMetrics placement
12–14Cross-references, Patterns, Breaking Changesv4→v5 delta

Read sub-files/reference.md for full API detail.

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 Ring:Using Assert AI skill do?

Using lib-observability/assert, Lerian's runtime assertion package, in two modes. Sweep Mode detects panic()/log.Fatal zero-panic violations, DIY invariant checks, hand-rolled domain predicates, and missing InitAssertionMetrics. Reference Mode catalogs the asserter lifecycle, domain predicates, observability trident, AssertionError unwrapping, and the panic-vs-assert-vs-error decision tree. Go-only. Skip for non-Go or frontend code.

Why use Ring:Using Assert on TypingMind?

Because you install it once and use it with any model. Ring:Using Assert 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 Ring:Using Assert in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LerianStudio/ring/tree/main/dev-team/skills/using-assert. 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 Ring:Using Assert?

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 Ring:Using Assert?

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

Is the Ring:Using Assert AI skill free?

Yes. It is published on GitHub by LerianStudio under the Apache-2.0 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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