thermometer SKILL.md skillA
thermometer from escoffier-labs/skillet is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add escoffier-labs/skillet/thermometer@v0.1.0Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- escoffier-labs/skillet
- Path
skillet/skills/thermometer/SKILL.md- Versions recorded
- 3
- Latest version
- v0.1.0, committed Jul 28, 2026
- First version recorded
- Jul 11, 2026
- Size
- 5,426 bytes
- Repository stars
- 4
- License
- MIT
Use when investigating or improving performance, latency, throughput, memory use, CPU use, startup time, or bundle size. Establishes a repeatable baseline and profiles the measured bottleneck before any optimization.
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
# thermometer A thermometer turns "slow" into a workload, a metric, and a measured boundary. No optimization starts from intuition alone. The same input, environment, and sampling method must exist before and after the change. ## The measurement law No performance claim without a repeatable baseline and a comparable after measurement. A faster result from a different workload, warm cache, machine, dataset, build mode, or sampling method is not a comparison. Correctness, security, durability, and accessibility remain requirements. Trading one away for speed requires explicit user approval and must appear in the report. ## 1. Pin the question Turn the complaint into one primary metric: - latency for a named operation and percentile - throughput under a stated concurrency level - peak or retained memory for a defined workload - CPU time or utilization for a named process - startup time to a defined ready signal - artifact or bundle size for a named build target …
Read the whole file at its exact version.
How to install
mdr add escoffier-labs/skillet/thermometer@sha256:6f74cf2f06ae4242The line at the top of this page pins the label v0.1.0, 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_vbotcw43v7ffbeyc)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Jul 11, 2026 and Jul 28, 2026, about one every 8 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-07-28 | 5c0ca70 | 5,426 B | A | view · diff |
| git:20260712.1f871dd | 2026-07-12 | 1f871dd | 5,411 B | A | view · diff |
| git:20260711.b4d34d4 | 2026-07-11 | b4d34d4 | 5,398 B | A | view |
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 (5426 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
escoffier-labs/skillet · 4 stars · license MIT · pushed 2026-10-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vbotcw43v7ffbeyc GET https://markdownregistry.com/api/v1/resolve?ref=escoffier-labs/skillet/thermometer GET https://markdownregistry.com/api/v1/blob/6f74cf2f06ae424266f9102142aee1da2f5e4385ac63ceda738c638fc2b53ba9
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.