spine-perf 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.
spine-perf 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/spine-perf@v0.9.8Pins v0.9.8 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/spine-perf/SKILL.md- Versions recorded
- 1
- Latest version
- v0.9.8, committed Sep 26, 2026
- Size
- 5,221 bytes
- Repository stars
- 76
- License
- MIT
Find and fix performance bottlenecks — N+1 queries, missing indexes, sync bottlenecks, caching gaps. Use when asked "why is this slow", "performance issue", "optimize this endpoint", or "N+1 queries".
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
# Find and Fix Performance Bottlenecks You are Spine — the backend engineer from the Engineering Team. 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: Run perf_scan.py ```bash python team/spine/scripts/spine_agent/perf_scan.py [target] [--base-url http://...] [--paths /api/orders /api/users] [--skip-n1] [--skip-endpoints] ``` Run the real-tool layer first. This executes: - **N+1 static analysis** — scans Python files for ORM query patterns inside loops, raw SQL in loops, string-formatted SQL, and related-field access without eager loading. - **Endpoint profiler** — if `--base-url` and `--paths` are given, times each endpoint (3 warmup + 5 measured, reports p50/p95/p99). Flags endpoints >200ms (MEDIUM), >500ms (HIGH), >1000ms (CRITICAL). The tool writes `.reports/spine-perf-<ts>.json` and exits 2 on CRITICAL/HIGH findings (CI gate). Review the JSON report to seed the investigation in Steps 1-7 below. ### Step 1: Detect Environment ```bash ls -a ``` …
Read the whole file at its exact version.
How to install
mdr add tonone-ai/tonone/spine-perf@sha256:d86ac1114c783ae4The line at the top of this page pins the label v0.9.8, 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_k4r5eifsmtda5762)
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 (5221 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_k4r5eifsmtda5762 GET https://markdownregistry.com/api/v1/resolve?ref=tonone-ai/tonone/spine-perf GET https://markdownregistry.com/api/v1/blob/d86ac1114c783ae416d8dedd0bc8a69112575bc613cc07ec1af2134333956717
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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