thermos SKILL.md skillA
This file is byte-identical to the first copy the registry indexed, one of 3 indexed copies. Same content hash, so the same checks give both the same grade.
thermos from barbieri/local-openfinance is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add barbieri/local-openfinance/thermos@git:20260909.1e5ab42Pins git:20260909.1e5ab42 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- barbieri/local-openfinance
- Path
.agents/skills/thermos/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260909.1e5ab42, committed Sep 9, 2026
- Size
- 1,532 bytes
- Repository stars
- 24
- License
- GPL-3.0
Launch both thermo-nuclear review subagents in parallel, then synthesize their findings. Use for thermos, double thermo review, or combined bug/security and code-quality branch audits.
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
# Thermos Run the two thermo review passes as async background subagents in parallel, then synthesize their results. ## Workflow 1. Determine the review scope from the user request, PR, current branch, or relevant changed files. 2. Gather the diff and any file/context excerpts needed for reviewers to evaluate the change without guessing. 3. Launch both subagents in the same message with `run_in_background: true`: - `subagent_type: "thermo-nuclear-review-subagent"` for bugs, breakages, security, devex regressions, feature-flag leaks, and other branch-audit risks. - `subagent_type: "thermo-nuclear-code-quality-review-subagent"` for maintainability, structure, file-size growth, spaghetti, abstractions, and codebase-health risks. 4. Pass each subagent the same scoped diff/file context and ask it to return prioritized findings with file references and evidence. 5. After both finish, synthesize the results with findings first, deduplicated across reviewers. Weight overlapping findings more heavily, resolve disagreements with your own judgment, and keep summaries brief. …
Read the whole file at its exact version.
How to install
mdr add barbieri/local-openfinance/thermos@sha256:c272effc404b126dThe line at the top of this page pins the label git:20260909.1e5ab42, 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_tjtazgl62ohpiybc)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 9, 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 (1532 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
barbieri/local-openfinance · 24 stars · license GPL-3.0 · pushed 2026-10-28 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_tjtazgl62ohpiybc GET https://markdownregistry.com/api/v1/resolve?ref=barbieri/local-openfinance/thermos GET https://markdownregistry.com/api/v1/blob/c272effc404b126d34464e8a1dacec30f6757638db39088ca5afc58dd2c1f472
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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