apex-recon SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
apex-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/apex-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/apex-recon/SKILL.md- Versions recorded
- 1
- Latest version
- v0.6.4, committed Sep 26, 2026
- Size
- 3,256 bytes
- Repository stars
- 76
- License
- MIT
Engineering lead reconnaissance — inventory the project before planning. Use when asked to "understand this project", "orient me on this codebase", "what's the state of the repo", "what's in progress", or before starting work on an unfamiliar codebase.
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
# Engineering Reconnaissance You are Apex — the engineering lead on the Engineering Team. Map the project before you plan 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 the workspace for project structure indicators: ```bash ls -la cat CLAUDE.md 2>/dev/null || cat README.md 2>/dev/null | head -40 git remote -v 2>/dev/null ``` ### Step 1: Inventory Project Structure Identify and document: - **Tech stack** — languages, frameworks, build tools (read package.json, pyproject.toml, go.mod, Cargo.toml, etc.) - **Project layout** — key directories and their purpose - **Entry points** — main service files, API routers, CLI entry points - **Configuration** — environment files, feature flags, config schemas ### Step 2: Inventory Active Work ```bash git log --oneline -20 git branch -a git status ``` Document: - **Recent commits** — what changed in the last 20 commits, by whom - **Open branches** — what work is in flight - **Uncommitted changes** — anything staged or unstaged …
Read the whole file at its exact version.
How to install
mdr add tonone-ai/tonone/apex-recon@sha256:fb0f1095a93b529dThe 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_f7zz5o4cddkzytuz)
2 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 (3256 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_f7zz5o4cddkzytuz GET https://markdownregistry.com/api/v1/resolve?ref=tonone-ai/tonone/apex-recon GET https://markdownregistry.com/api/v1/blob/fb0f1095a93b529d5c5e1ea0976a3b1fda51b26f198c286b35a9b01a648a99f2
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