SkillAgentSearch skills...

artifact-yylo

Capture and retrieve durable YYLO Ledger artifact Records with intentional

Install / Use

npx skills add sickn33/agentic-awesome-skills --skill artifact-yylo

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

91/100

Supported Platforms

Universal

Our assessment of artifact-yylo

artifact-yylo scores 91/100 on our quality scale, 329th of 1,947 Development & Engineering skills we index (top 17%).

Its SKILL.md is 5.3 KB long, well organised into 9 sections with 3 code examples: a solid amount of guidance for an agent.

With 46,875 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
18/20
Description
12/15
Adoption
20/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated yesterday, so artifact-yylo is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-09-26. Automated pattern scan on 2026-09-26. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

artifact-yylo compared with similar skills

All 4 of these similar skills score higher than artifact-yylo; compare them before choosing.

SkillScoreStarsUpdatedFormat
artifact-yylo (this skill)by sickn339146.9k1d agoSKILL.md
Agent-Reachby Panniantong10085.5k10d agoCLAUDE.md
ai-job-searchby MadsLorentzen10044.0k4d agoCLAUDE.md
claude-howtoby luongnv8910041.7ktodayCLAUDE.md
algorithmic-artby anthropics100177.9k3d agoSKILL.md

Frequently asked questions

How do I install artifact-yylo?
Run npx skills add sickn33/agentic-awesome-skills --skill artifact-yylo. The install tabs above show the steps for each supported agent.
Which AI agents does artifact-yylo work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is artifact-yylo safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is artifact-yylo still maintained?
The repository was last updated yesterday, so artifact-yylo is actively maintained.

name: artifact-yylo description: Capture and retrieve durable YYLO Ledger artifact Records with intentional profiles, payload modes, provenance, retention, and secret-safe immutable evidence. category: project-management risk: safe source: https://github.com/yylo-dev/yylo-skills source_repo: yylo-dev/yylo-skills source_type: community date_added: '2026-09-19' license: MIT license_source: https://github.com/yylo-dev/yylo-skills/blob/main/LICENSE compatibility: Requires the yy CLI with the artifact record group installed. Captures immutable, secret-safe evidence with provenance and retention; never publishes or deploys. argument-hint: '[artifact or evidence to capture/find/inspect]' enable-shell-directives: true

Use YYLO artifact Records

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.

Classify before capture

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.

Create explicitly

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.

Operational-document boundary

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.

Find and verify

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.

Complete request

$ARGUMENTS

When to Use

  • You need to capture or retrieve durable YYLO Ledger artifact Records (stdout, model-output, report, receipt) with provenance, retention, and immutable payloads.
  • New operational PDRs, contracts, plans, reports, and receipts belong here - not in product docs, task bodies, or new .juno_task/specs files.

Limitations

  • Payloads are immutable: represent replacement with predecessor/successor relations, never by overwriting bytes. Archive is a lifecycle transition, not deletion.
  • Secret-safe only: never embed URI credentials; Ledger rejects unsafe schemes, traversal, size/digest mismatches, and known secret patterns.
  • Retention metadata never authorizes deletion; release, publication, upload, and production mutation always need separate authority.

Example

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.

Related Skills

View on GitHub
GitHub Stars46.9k
CategoryDevelopment
Updated1d ago
Forks6.8k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions