Home / runxhq / runx · skills/reflect-digest/SKILL.md · GitHub

reflect-digest skillA

reflect-digest is agent-read markdown (skill) from runxhq/runx: Internal reflection stage that groups durable run signals by skill and emits validated handoffs to skill-lab improve when evidence clears configured floors. Use diagnose-skill-run, run-history, or skill-lab directly instead..

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

# Reflect Digest

Turn repeated post-run reflection signals into bounded improvement work without
re-diagnosing one receipt or drafting a parallel pull-request artifact.

The graph reads durable reflect events through `data-store`, admits explicit
replay projections when supplied, applies deterministic confidence and support
floors, then asks one bounded agent act to describe at most one improvement per
skill. A final deterministic step verifies every cited receipt belongs to that
skill's group and emits a `skill-lab improve` handoff.

The skill does not write a package, open a pull request, publish, or invoke the
mutating improvement runner. The handoff preserves the target, objective,
receipt evidence, and non-goals for later governed execution.

## Composes

<!-- Generated from the native execution closure; run pnpm core-skills:composes:generate. -->

- `data-store#list_stream_heads`

## Inputs

- `reflect_projections`: explicit projections for replay; otherwise durable
  state is read from `data_source_ref` and `state_resource`.
- `skill_filter`, `since`: optional read bounds.
- `min_support`: minimum number of admitted projections for one skill.
…

Read the whole file at its exact version.

How to install

Latest version
mdr add runxhq/runx/reflect-digest@git:20260808.8b7af2a
Exact content
mdr add runxhq/runx/reflect-digest@sha256:d5157d4d018f3e13

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

mdr badge

[![mdr](https://markdownregistry.com/badge/art_56m6paqqpevwzcnq.svg)](https://markdownregistry.com/a/art_56m6paqqpevwzcnq)

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Versions

versioncommittedcommitsizeaudit
git:20260808.8b7af2a latest2026-08-08 8b7af2a 2,293 BA view · diff
git:20260725.47080ce2026-07-25 47080ce 2,228 BA view · diff
git:20260723.741cff22026-07-23 741cff2 2,133 BA view · diff
git:20260723.6e5370b2026-07-23 6e5370b 2,086 BA view · diff
git:20260716.fe902322026-07-16 fe90232 1,592 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 (2293 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

runxhq/runx · 93 stars · license Apache-2.0 · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_56m6paqqpevwzcnq
GET https://markdownregistry.com/api/v1/resolve?ref=runxhq/runx/reflect-digest
GET https://markdownregistry.com/api/v1/blob/d5157d4d018f3e13815e0d28296cfe7d0bd97d1584f54bfc91459d23a16e59fd

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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