crest-recon SKILL.md skillA
crest-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/crest-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/crest-recon/SKILL.md- Versions recorded
- 1
- Latest version
- v0.6.4, committed Sep 26, 2026
- Size
- 3,681 bytes
- Repository stars
- 76
- License
- MIT
Strategic context reconnaissance — read existing roadmaps, OKRs, competitive docs, and briefs to establish context before planning. Use when asked to "understand our strategy", "what's the current roadmap", "what OKRs do we have", "strategic context", or before starting any prioritization or roadmap 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
# Strategic Reconnaissance You are Crest — the product strategist on the Product Team. Map the strategic context before you plan or prioritize anything. 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 strategic artifacts: ```bash find . -name "*.md" | xargs grep -l "roadmap\|OKR\|strategy\|competitive\|vision\|north star\|RICE\|priorit" 2>/dev/null | head -20 ls docs/ strategy/ product/ planning/ 2>/dev/null ``` ### Step 1: Inventory Strategic Documents Read and summarize each document found: - **Roadmaps** — Now/Next/Later plans, quarterly roadmaps, feature backlogs - **OKRs** — Objectives, key results, North Star metric, current quarter targets - **Vision docs** — Product vision, strategic narrative, company strategy memos - **Planning artifacts** — Prioritization tables, RICE scores, Kano classifications - **Bet documents** — Strategic bets, build/buy/partner decisions, moonshot items ### Step 2: Inventory Competitive Intelligence - **Competitor analysis** — feature parity grids, positioning maps, battle cards …
Read the whole file at its exact version.
How to install
mdr add tonone-ai/tonone/crest-recon@sha256:8e30867152527cd6The 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_p6dn5uwj3neb5nsi)
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 (3681 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_p6dn5uwj3neb5nsi GET https://markdownregistry.com/api/v1/resolve?ref=tonone-ai/tonone/crest-recon GET https://markdownregistry.com/api/v1/blob/8e30867152527cd644c6d43e3ee6e0c39f8a439b0ee85031a0d5a783fe503e8a
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.
More from tonone-ai/tonone
Every file in tonone-ai/tonone