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Get Started Free →[omh] Business research brief - turns a market, competitor, pricing, or customer question into a structured evidence-vs-inference brief; for raw link gathering use ulw-research, and for ongoing multi-role research use research-department. Use when the user says: research-brief, business-research, business research, research brief, source-backed business research, customer feedback trends, feedback trends, market evidence.
.claude/skills/rlaope-omh-research-brief/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-03 | ✗→✓ | ▲ Improved | 2% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 36% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 96% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 3% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 26% | 0% |
This is a Hermes-native research-brief workflow skill.
research-brief exists to keep research work explicit, evidence-backed, and inside the Hermes/executor boundary instead of relying on ad hoc chat narration.
research.source-finder.Good example:
Bad example:
research-brief.source-finder, research, best-practice-research, autoresearch-goal, research-brief, strategy-brief, feedback-triage, research-department, +13 more) - research, signals, ops, and briefings.oh-my-hermes or name the adjacent workflow.omh-routing/references/skill-common-rail.md.Use when Hermes should scope a business question, gather or summarize source-backed evidence, and preserve evidence/inference boundaries before strategy or handoff.
Strong routing signals: research-brief, business-research, business research, research brief, decision brief, pricing decision brief, decision-ready brief, source-backed business research, customer feedback trends, feedback trends, market evidence, data search, source scan, 자료 조사, 데이터 서치, 근거 조사, 피드백 추세, 고객 피드백 추세
Category: research Phase: business-brief Hermes role: researcher Quality tier: source-gated Reasoning demand: standard
Quality bar:
Handoff policy:
Keep business research in Hermes; prepare a selected executor/runtime handoff only after a later accepted plan requires code changes.
Required inputs:
Expected outputs:
Artifact expectations:
Safety rules:
Preferred harness for this skill: business-research.
shomh runtime record --skill research-brief --harness business-research --status started
Record observed delegation results; otherwise return not_available or not_observed. Prepared OMH routing is not execution, review, CI, merge-readiness, or merge evidence.
Preserve workflow intent and stop conditions; verify before claiming completion.
Use Hermes-native subagent/delegation features when available: native subagents -> Hermes delegation when available, otherwise sequential lanes.
Shared product, compatibility, topology, memory, harness, and execution rules: omh-routing/references/skill-common-rail.md. Load it when applicable; otherwise name an unavailable capability.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 21,079 | 17,203 | -18% | 1 | 1 | 0% | 3,246 | 3,839 | +18% | 0 | 0 | — |
case-02 | fail→fail | 24,011 | 36,057 | +50% | 1 | 1 | 0% | 3,465 | 3,169 | -9% | 0 | 0 | — |
case-03 | fail→pass | 26,744 | 17,411 | -35% | 1 | 1 | 0% | 3,620 | 3,696 | +2% | 0 | 0 | — |
case-04 | fail→pass | 18,877 | 15,771 | -16% | 1 | 1 | 0% | 2,617 | 3,549 | +36% | 0 | 0 | — |
case-05 | fail→pass | 13,735 | 20,427 | +49% | 1 | 1 | 0% | 1,918 | 3,763 | +96% | 0 | 0 | — |
case-06 | fail→pass | 30,494 | 28,141 | -8% | 1 | 1 | 0% | 4,146 | 4,287 | +3% | 0 | 0 | — |
case-07 | fail→fail | 29,619 | 21,999 | -26% | 1 | 1 | 0% | 4,156 | 4,186 | +1% | 0 | 0 | — |
case-08 | fail→fail | 25,545 | 20,083 | -21% | 1 | 1 | 0% | 3,714 | 3,837 | +3% | 0 | 0 | — |
case-09 | fail→pass | 20,014 | 17,995 | -10% | 1 | 1 | 0% | 2,909 | 3,679 | +26% | 0 | 0 | — |
case-10 | fail→pass | 22,037 | 16,839 | -24% | 1 | 1 | 0% | 3,187 | 3,425 | +7% | 0 | 0 | — |
case-11 | fail→pass | 20,453 | 51,473 | +152% | 1 | 1 | 0% | 2,946 | 3,860 | +31% | 0 | 0 | — |
case-12 | fail→pass | 32,787 | 24,032 | -27% | 1 | 1 | 0% | 4,965 | 3,902 | -21% | 0 | 0 | — |
case-13 | fail→pass | 21,502 | 20,062 | -7% | 1 | 1 | 0% | 3,194 | 3,841 | +20% | 0 | 0 | — |
case-14 | fail→fail | 23,331 | 18,175 | -22% | 1 | 1 | 0% | 3,272 | 3,763 | +15% | 0 | 0 | — |
case-15 | fail→fail | 20,204 | 27,386 | +36% | 1 | 1 | 0% | 3,005 | 4,438 | +48% | 0 | 0 | — |
case-16 | fail→pass | 17,084 | 17,925 | +5% | 1 | 1 | 0% | 2,528 | 3,775 | +49% | 0 | 0 | — |
case-17 | fail→fail | 26,079 | 16,770 | -36% | 1 | 1 | 0% | 3,540 | 3,424 | -3% | 0 | 0 | — |
case-18 | fail→pass | 20,473 | 17,346 | -15% | 1 | 1 | 0% | 2,965 | 3,644 | +23% | 0 | 0 | — |
case-19 | fail→fail | 23,395 | 21,073 | -10% | 1 | 1 | 0% | 3,448 | 4,038 | +17% | 0 | 0 | — |
case-20 | pass→pass | 4,024 | 5,474 | +36% | 1 | 1 | 0% | 634 | 1,891 | +198% | 0 | 0 | — |
case-21 | pass→pass | 13,408 | 11,963 | -11% | 1 | 1 | 0% | 2,475 | 2,883 | +16% | 0 | 0 | — |
case-22 | pass→pass | 7,872 | 7,155 | -9% | 1 | 1 | 0% | 1,024 | 2,021 | +97% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +50 percentage points is the difference between those two pass rates over the 22 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.