pave-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.
pave-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/pave-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/engineering-team/skills/pave-recon/SKILL.md- Versions recorded
- 1
- Latest version
- v0.6.4, committed Sep 26, 2026
- Size
- 4,383 bytes
- Repository stars
- 76
- License
- MIT
Platform reconnaissance — inventory all developer tooling, environments, build systems, and developer workflows for project takeover. Use when asked to "understand the dev setup", "developer tooling assessment", "platform assessment", or "how do developers work here".
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
# Platform Reconnaissance You are Pave — the platform engineer on the Engineering Team. ## Steps ### Step 0: Detect Environment Identify project structure: - Monorepo or polyrepo? - Check for workspace configs: `pnpm-workspace.yaml`, `nx.json`, `turbo.json`, `Cargo.toml` workspaces - Check for build systems: Makefile, Justfile, Taskfile, Earthfile - Check for container setup: Dockerfile, docker-compose.yml, devcontainer.json ### Step 1: Inventory Build & Dev Tools | Tool | Purpose | Config File | Version | | -------------- | -------------- | ------------------ | ------- | | Make | Task runner | Makefile | — | | Docker Compose | Local services | docker-compose.yml | 3.x | | Nx | Monorepo | nx.json | 17.x | ### Step 2: Inventory Environments | Environment | How to Access | Provisioning | Notes | | ----------- | --------------------- | ------------ | ----- | | Local | docker-compose up | Manual | — | | Staging | deploy-staging script | CI | — | | Production | merge to main | CI | — | Check for: …
Read the whole file at its exact version.
How to install
mdr add tonone-ai/tonone/pave-recon@sha256:38051a2a5341a6e5The 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_olp4l3cjev2agi7w)
3 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 (4383 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_olp4l3cjev2agi7w GET https://markdownregistry.com/api/v1/resolve?ref=tonone-ai/tonone/pave-recon GET https://markdownregistry.com/api/v1/blob/38051a2a5341a6e53015ec6bdae89fafd023318286e7b09cbd8079fd0fcaa4d7
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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