Home / lstr-1 / skills · sex/skills/convergence-monitoring/SKILL.md · GitHub

convergence-monitoring skillA

convergence-monitoring is agent-read markdown (skill) from lstr-1/skills: Monitor iterative improvement loops for convergence. Three signals — shrinking diff, pass-rate plateau, velocity — drive a Stop/Continue/Investigate decision at each inter-wave checkpoint. Distinct from /evolve (retrospective) and session-reviewer (wave output review): convergence-monitoring answers "are we making progress?" not "was the last wave correct?". Primary consumer: /autoresearch loops and wave-executor inter-wave checkpoints..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

> **Platform Note:** State files use the platform's native directory: `.claude/` (Claude Code),
> `.codex/` (Codex CLI), or `.cursor/` (Cursor IDE). Shared metrics live in
> `.orchestrator/metrics/`. See `skills/_shared/platform-tools.md`.

# Convergence-Monitoring Skill

## Platform-native (CC 2.1.105+)

This skill's watcher is registered as a plugin monitor via `.claude-plugin/plugin.json`'s `experimental.monitors` reference to `monitors/monitors.json`. Each session that loads this plugin auto-starts the watcher in the background (see `scripts/lib/convergence-monitor.mjs`). Each NDJSON stdout line from the watcher becomes a `<task_notification>` event Claude sees mid-session.

For harness < 2.1.105 (no monitor support), the skill's manual probes documented below serve as the fallback path.

## When to Invoke

**Explicit invocation (`/convergence-monitoring`):** Standalone assessment — reads wave
history from `.orchestrator/metrics/events.jsonl`, computes all three signals, reports
verdict + recovery options.

**Embedded (loop context):** `/autoresearch` and `wave-executor` invoke this skill after
…

Read the whole file at its exact version.

How to install

Latest version
mdr add lstr-1/skills/convergence-monitoring@git:20260922.11fdbec
Exact content
mdr add lstr-1/skills/convergence-monitoring@sha256:6027dd6a76729d33

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

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Versions

versioncommittedcommitsizeaudit
git:20260922.11fdbec latest2026-09-22 11fdbec 14,063 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (14063 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

lstr-1/skills · 2 stars · license none · pushed 2026-09-22 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_bsoido7vz56icjys
GET https://markdownregistry.com/api/v1/resolve?ref=lstr-1/skills/convergence-monitoring
GET https://markdownregistry.com/api/v1/blob/6027dd6a76729d33375f71c9624547fc84b90b2ef8dc0b77f4774fde106cf28c

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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kanevry/session-orchestrator · skills/convergence-monitoring/SKILL.md · Monitor iterative improvement loops for convergence. Three signals — shrinking diff, pass-rate plateau, velocity —…
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