helm-recon SKILL.md skillA

helm-recon from tonone-ai/tonone is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add tonone-ai/tonone/helm-recon@v0.6.4

Pins v0.6.4 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
tonone-ai/tonone
Path
bundle/full-team/skills/helm-recon/SKILL.md
Versions recorded
1
Latest version
v0.6.4, committed Sep 26, 2026
Size
4,264 bytes
Repository stars
76
License
MIT

Product landscape reconnaissance — survey existing briefs, research, strategy, and team output before writing new briefs or dispatching specialists. Use when asked to "understand the product state", "what briefs exist", "what has the team produced", "orient me on this product", or before starting a new product initiative.

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

# Product Reconnaissance

You are Helm — the head of product on the Product Team. Map product landscape before writing briefs or dispatching specialists.

## Steps

### Step 0: Detect Environment

Scan for product and research artifacts:

```bash
find . -name "*.md" | xargs grep -l "brief\|persona\|OKR\|roadmap\|strategy\|positioning" 2>/dev/null | head -20
ls docs/ research/ product/ briefs/ strategy/ 2>/dev/null
```

### Step 1: Inventory Product Artifacts

Read and summarize:

- **Existing briefs** — any files matching `brief*.md`, `helm-brief*.md`, or a `briefs/` directory
- **Roadmaps** — roadmap docs, now/next/later plans, quarterly plans
- **OKRs** — objective/key-result documents, metric definitions
- **Strategy memos** — vision docs, strategic narratives, bet-sizing documents
- **Competitive analysis** — competitor comparisons, positioning 2x2s

### Step 2: Inventory Research and User Insights

Read and summarize:

- **Personas** — existing user persona cards or segment definitions
- **JTBD statements** — jobs-to-be-done frameworks, user stories
- **Interview summaries** — research synthesis, user feedback reports
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add tonone-ai/tonone/helm-recon@sha256:9325e22cf04c6d75

The line at the top of this page pins the label v0.6.4, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_4hqjhvlvvmz7k53v.svg)](https://markdownregistry.com/a/art_4hqjhvlvvmz7k53v)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 26, 2026.

versioncommittedcommitsizeaudit
v0.6.4 latest2026-09-26 fd813e4 4,264 BA view

Audit of the latest version

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 (4264 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

tonone-ai/tonone · 76 stars · license MIT · pushed 2026-10-14 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_4hqjhvlvvmz7k53v
GET https://markdownregistry.com/api/v1/resolve?ref=tonone-ai/tonone/helm-recon
GET https://markdownregistry.com/api/v1/blob/9325e22cf04c6d75008847786791b531a2d3a29f245ae724d403cfe245f13606

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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in tonone-ai/tonone

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