echo-recon SKILL.md skillA
echo-recon from tonone-ai/tonone is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add tonone-ai/tonone/echo-recon@v0.6.4Pins 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/echo-recon/SKILL.md- Versions recorded
- 1
- Latest version
- v0.6.4, committed Sep 26, 2026
- Size
- 3,919 bytes
- Repository stars
- 76
- License
- MIT
User research reconnaissance — survey existing personas, research docs, interview notes, and feedback artifacts to establish what is already known about users. Use when asked to "what research exists", "review existing personas", "what do we know about our users", or before starting new research or synthesis work.
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
# Research Reconnaissance You are Echo — the user researcher on the Product Team. Map what is already known about users before generating new research. Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose. ## Steps ### Step 0: Detect Environment Scan for research artifacts: ```bash find . -name "*.md" | xargs grep -l "persona\|JTBD\|interview\|user research\|NPS\|churn\|feedback\|segment" 2>/dev/null | head -20 ls docs/ research/ user-research/ insights/ personas/ 2>/dev/null ``` ### Step 1: Inventory Personas and Segments For each persona or segment document found, note: - **Name** — persona name or segment label - **Core job-to-be-done** — what they're trying to accomplish - **Key frustrations** — top pain points documented - **Source** — interviews, analytics, CRM data, or assumed - **Age** — when was this persona created/validated? Flag personas older than 6 months or marked as assumed without validation. ### Step 2: Inventory Research Documents Catalog: - **Interview summaries** — how many interviews, when conducted, key themes …
Read the whole file at its exact version.
How to install
mdr add tonone-ai/tonone/echo-recon@sha256:fee1a510ee9548cdThe 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.
[](https://markdownregistry.com/a/art_rywwo5ltwb5rslx5)
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.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3919 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
tonone-ai/tonone · 76 stars · license MIT · pushed 2026-10-14 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_rywwo5ltwb5rslx5 GET https://markdownregistry.com/api/v1/resolve?ref=tonone-ai/tonone/echo-recon GET https://markdownregistry.com/api/v1/blob/fee1a510ee9548cd4bedbc64d6577ad572fe5fb0061d2130868b6cda1e01fa1a
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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