Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill. Use when the user says reflect.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Reflect
Mine the current conversation for durable learnings, then route them into skill edits.
Invoke when the user says "reflect" or "/reflect". Skip when the conversation is trivial, off-topic, or already covered by an existing skill the parent followed correctly. One-offs are not learnings.
## 1. Locate the active transcript
Before fanning out, find this conversation's transcript in the `agent-transcripts/` directory the system prompt names. Do not glob across `~/.cursor/projects/*/`. That crosses workspace boundaries and reads private chats from unrelated projects.
```bash
ls -t <agent-transcripts>/*.jsonl <agent-transcripts>/*/*.jsonl <agent-transcripts>/*/subagents/*.jsonl 2>/dev/null | head -10
```
That covers the legacy flat (`<id>.jsonl`), current nested (`<id>/<id>.jsonl`), and subagent (`<parent>/subagents/<child>.jsonl`) layouts. For each candidate, read the first JSONL line. Take the file whose `message.content[0].text` contains the conversation's opening user prompt. If none matches, pass a tight digest of the session instead.
## 2. Spawn three reviewers in parallel
…
The line at the top of this page pins the label git:20261013.9e6954c, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the 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 (4633 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
nightly-labs/openbot · 5,267 stars · license a license file GitHub does not identify · pushed 2026-11-04 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_v7vrxncmtfflmvbe
GET https://markdownregistry.com/api/v1/resolve?ref=nightly-labs/openbot/reflect
GET https://markdownregistry.com/api/v1/blob/f5e9200f37e2a4567c0eeb0ba244fde66c1b3f35e3b7a883de2f85b3bda7365a
Your AI assistant 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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cursor/plugins · pstack/skills/reflect/SKILL.md · Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit…
cursor/plugins · harness/pstack/claude-code/skills/reflect/SKILL.md · Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit…
michael-denyer/pstack-claude · plugins/pstack/skills/reflect/SKILL.md · Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit…
backnotprop/pstack · skills/reflect/SKILL.md · Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit…
bradygaster/squad · packages/squad-cli/templates/skills/reflect/SKILL.md · Learning capture system that extracts HIGH/MED/LOW confidence patterns from conversations to prevent repeating…
bradygaster/squad · packages/squad-sdk/templates/skills/reflect/SKILL.md · Learning capture system that extracts HIGH/MED/LOW confidence patterns from conversations to prevent repeating…
bradygaster/squad · .squad-templates/skills/reflect/SKILL.md · Learning capture system that extracts HIGH/MED/LOW confidence patterns from conversations to prevent repeating…
bradygaster/squad · .github/skills/reflect/SKILL.md · Learning capture system that extracts HIGH/MED/LOW confidence patterns from conversations to prevent repeating…