Home / grainulation / grainulator · skills/feedback/SKILL.md · GitHub

feedback skillA

feedback is agent-read markdown (skill) from grainulation/grainulator: Record stakeholder input — new constraints, corrections, or direction changes..

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

# /feedback -- Record stakeholder input

The user is relaying feedback from stakeholders that should be incorporated into the sprint.

## Arguments

$ARGUMENTS

## Instructions

1. **Parse the feedback**: Identify what the stakeholder said. This could be:
   - A new constraint ("CTO says prioritize speed over cost")
   - A correction ("compliance says we need SOC2 Type II, not Type I")
   - A direction change ("skip the custom build, focus on Auth0 vs Clerk")
   - A new question ("what about latency in EU regions?")

2. **Create feedback claims** as `f###` claims:
   - Type: `constraint` for hard requirements, `feedback` for opinions/preferences
   - Evidence tier: `stated` (stakeholder said it, not independently verified)
   - Tag with the stakeholder's name or role

3. **Check for conflicts**: Does this feedback contradict existing claims? If a stakeholder says "budget is $10K max" but research shows a solution at $15K, that's a conflict. Set `conflicts_with` on the new feedback claim only; one edge is sufficient for the compiler. Preserve the original record.

4. Run `grainulator.compile` to surface any new conflicts.

5. **Print result**:

   ```
   Feedback recorded:
…

Read the whole file at its exact version.

How to install

Latest version
mdr add grainulation/grainulator/feedback@git:20260922.e702f49
Exact content
mdr add grainulation/grainulator/feedback@sha256:b68963db92c18fb9

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

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Versions

versioncommittedcommitsizeaudit
git:20260922.e702f49 latest2026-09-22 e702f49 3,539 BA view · diff
git:20260908.608fac02026-09-08 608fac0 3,040 BA view · diff
git:20260407.59ecbc62026-04-07 59ecbc6 1,639 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 (3539 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

grainulation/grainulator · 86 stars · license MIT · pushed 2026-09-22 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_pefgxs7jn6rwdxon
GET https://markdownregistry.com/api/v1/resolve?ref=grainulation/grainulator/feedback
GET https://markdownregistry.com/api/v1/blob/b68963db92c18fb98c2c62d106493f2ffa29cc2042f61668debae3ee25d785ba

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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