Automate 21risk tasks via Rube MCP (Composio). Always search tools first for current schemas.
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Capture and retrieve durable YYLO Ledger artifact Records with intentional profiles, payload modes, provenance, retention, and secret-safe immutable evidence.
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실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Treat Ledger as the source of truth for artifact identity and metadata. Use
yy ledger in a YYLO controller or yylo-ledger standalone. Inspect
COMMAND artifact --help; if unavailable, do not create store files manually.
A Ledger Artifact Record is durable evidence, not an npm/Python release artifact
and not an implicit request to publish or deploy.
Choose the profile matching the evidence:
stdout: bounded process output;model-output: an agent/model response;report: a generated human- or machine-readable result;receipt: evidence binding an operation and its inputs/outcome.Choose payload mode deliberately:
inline: small immutable bytes embedded in the Record;local: immutable content-addressed bytes in Ledger storage;external: immutable external bytes with URI, digest, and size;link: URI reference without an immutable-byte guarantee.Prefer immutable evidence when later verification depends on exact bytes. A link must never be presented as content-addressed proof.
Use file/stdin transport and provide the media type:
yy ledger artifact create --title "Focused test report" --profile report \
--mode local --media-type application/json --file report.json
For external immutable content, provide the supported URI, SHA-256 digest, and size shown by installed help. Never embed URI credentials. Ledger rejects unsafe schemes, traversal, size/digest mismatches, oversized capture, and known secret patterns.
Attach only supported, non-secret provenance such as actor, agent, model,
session, run, invocation, task, or workflow identity. Task/workflow provenance
uses immutable Record IDs. Select temporary, standard, or permanent
retention deliberately; retention metadata does not itself authorize deletion.
Store new PDRs, architecture and migration contracts, plans, reports, receipts,
and execution evidence as Artifact Records. Draft through a fresh external file,
capture it with an intentional profile and immutable payload mode, read it back,
and verify its ID, digest, size, provenance, retention, and history before
removing the draft. Use the report profile for human-readable PDRs/contracts
unless installed help provides a more specific approved profile.
Product docs/ is only for documentation shipped as part of the product. Never
put operational evidence there to manufacture a task product diff. Preserve
legacy .juno_task/specs files, but do not create new ones as a fallback. If the
installed artifact API is unavailable, stop with the external draft intact and
request a Ledger upgrade; do not put it in task bodies, responses, product docs,
or manually managed controller paths.
yy ledger artifact search --profile report --projection summary --limit 20 -f json
yy ledger artifact get RECORD_ID -f json
yy ledger artifact history RECORD_ID -f ndjson
Use bounded metadata/summary projections before requesting payload details. Verify profile, mode, media type, digest, size, provenance, retention, revision, and immutable ID before relying on evidence.
Artifact payloads are immutable evidence. Represent replacement with explicit predecessor/successor relationships and the installed revision-safe update contract; do not overwrite bytes or edit content objects. Archive is a lifecycle transition, not deletion. Release, publication, external upload, retention execution, and production mutation always require separate authority.
$ARGUMENTS
.juno_task/specs files.yy ledger artifact search --profile report --projection summary --limit 20 -f json
yy ledger artifact get RECORD_ID -f json
Adapted from yylo-dev/yylo-skills (MIT) - v2.0.1; frontmatter, When to Use/Limitations, and safety boundaries added for upstream compliance.
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Automate 21risk tasks via Rube MCP (Composio). Always search tools first for current schemas.
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Automate 2chat tasks via Rube MCP (Composio). Always search tools first for current schemas.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Usar al iniciar o mejorar un proyecto de IA: diagnostica código y restricciones, propone skills existentes y redacta tareas y un plan de implementación en español.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Usar para crear o mejorar una skill de Andru.ia: define entradas y resultados, redacta SKILL.md con ejemplos y límites, valida la estructura y prepara una PR.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Usar tras definir el sector de un proyecto: prepara un dossier en español con contexto, normas aplicables, patrones UX y riesgos, distinguiendo fuentes verificadas de hipótesis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
AI-powered presentation generation via the 2slides API — create slides from text, match a reference image style, summarize documents into decks, add AI voice narration, and export pages/audio. Use f
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