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- tomevault-io/skills-registry
- 최근 소스 활동
- 2026년 7월 3일 19:45
- 감지된 SKILL.md 언어
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설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/tomevault-io/skills-registry --skill intent-ranked-regression-craft명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
| Use when this capability is needed.
> Use when this capability is needed.
Review architecture and API design for the vfs-s3 project. Use when the user mentions @architect, asks to review an issue's design, discuss module boundaries, API shape, or architectural decisions for vfs-s3. Also trigger when the user wants to create an ADR (Architecture Decision Record) or evaluate a technical approach for the project. Intended for dispatch from Codex automation or Claude routines; GitHub trigger phrase: @vfs-s3-bot please prepare design doc Use when this capability is needed.
SOC 직업 분류 기준
| name | intent-ranked-regression-craft |
| description | >- Use when this capability is needed. |
Minted 2026-06-05 from the operator's framing: "not mechanical — take all my intents, use cases, logic, scenarios, interactions (past/present/future), make a ranking system, research inside and outside, review it, then regress." This is the value layer above the mechanical inter-wave regression (which checks is everything wired?); this layer asks is what I care about most still served?
akos-inter-wave-regression.mdc runs 13 structural dimensions at ~equal weight.
That answers integrity, not priority. When attention is scarce (operator review
minutes; agent context budget), you want the highest-stakes surfaces checked first
and deepest. External practice converges here:
akos/hlk_intent_ranked_regression.py — 7 intent tiers + N surfaces + ICS.
scripts/intent_ranked_regression.py --rank prints the ranked sweep order.
ICS = 3*intent_value + 2*time_criticality + 2*risk_reduction + 1*detection_gap
intent_value (1-5) = max value of the intent tiers the surface serves.time_criticality (1-5) = does delay cost? (before first sale / incorporation).risk_reduction (1-5) = blast radius if it breaks.detection_gap (1-5) = FMEA Detection inverted — 5 means no always-on gate
would catch a regression here (so it deserves manual eyes); 1 means a strong gate
already does.severity_first = FMEA Action-Priority override: existence-critical surfaces
(legal/fiscal IT-2, governance-integrity IT-3) with a known live gap lead the
queue regardless of ICS.OPERATOR_INBOX.md, USE_CASE_ARCHIVE.csv, open OPS_REGISTER
severities, INITIATIVE_REGISTRY. Update tier weights only with evidence — never
invent priority. Re-derive when the portfolio shifts materially.--self-test must stay green.--rank gives the ordered probe list. Run
top-down; stop-early is allowed only when remaining surfaces are all low-ICS AND
green so far.docs/wip/planning/88-cross-area-ops-wiring-review-discipline/reports/intent-ranked-regression-2026-06-05.md
— the 2026-06-05 run: 3552 pass / 9 fail, attributed to 0 new regressions,
1 high-intent pre-existing drift fixed-now (the area_governance pattern-class
enum lag from I93), 8 known/deferred dispositioned.
akos/hlk_intent_ranked_regression.pyscripts/intent_ranked_regression.py.cursor/rules/akos-intent-ranked-regression.mdc.cursor/rules/akos-inter-wave-regression.mdc
.cursor/skills/inter-wave-regression-craft/SKILL.md.cursor/rules/akos-inline-ratification.mdcSource: FraysaXII/openclaw-akos — distributed by TomeVault.