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Thermos — measured AI agent skill | DecimalAI

kunanonj/cursor-plugin-thermos-thermos

NewSkillScoreMaintained

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.

by kunanonj

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Coding pack

decimalai skills pull kunanonj-cursor-plugin-thermos-thermos

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/kunanonj-cursor-plugin-thermos-thermos/SKILL.md

Raw file: /s/kunanonj-cursor-plugin-thermos-thermos/SKILL.md ↗ · machine-readable summary at /s/kunanonj-cursor-plugin-thermos-thermos.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 4h ago

—-35% tokens0% turns64% of whole cases pass with skill (14/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-08	✗→✓	▲ Improved	-38%	0%
case-09	✗→✓	▲ Improved	-53%	0%
case-12	✗→✓	▲ Improved	-37%	0%
case-22	✗→✓	▲ Improved	-50%	0%
case-17	✓→✗	▼ Worse	-52%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/2/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

kunanonj / ai-skills-hub

skills/cursor-plugin-thermos-thermos/SKILL.md

View on GitHub ↗

License MITImported 8/2/2026Version v1

Skill contents

SKILL.md

Thermos

Run the two thermo review passes as async background subagents in parallel, then synthesize their results.

Workflow

Determine the review scope from the user request, PR, current branch, or relevant changed files.
Gather the diff and any file/context excerpts needed for reviewers to evaluate the change without guessing.
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.

Pass each subagent the same scoped diff/file context and ask it to return prioritized findings with file references and evidence.
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.

If individual background summaries are already visible to the user, do not restate them wholesale. Surface the unified verdict, the highest-signal findings, and any remaining uncertainty.

Want to see if kunanonj/cursor-plugin-thermos-thermos would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.