updated 2026-10-16 16:07 UTC

Auto claude code research in sleep

Repository

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

Agent Skills Python Listed MIT

Is Auto claude code research in sleep safe? Promising trust profile, but some evidence still deserves review.

OSSF Scorecard 4.1 / 10
Provenance None
Signed commits 27%
Last push 9d ago
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In detail: Auto claude code research in sleep scores 56.0/100 (Grade C), ranked #159 of 385 tracked open-source AI agent projects, on evidence coverage C (2 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 4.1/10; 27% of recent commits are signed; last pushed 2026-10-07. Every point is earned from checkable signals — never paid placement. How scoring works →

How Auto claude code research in sleep could raise its score

Each line changes one public signal and recomputes with the live scoring function. The gains don't add up exactly, because the score is capped near the top.

Already done? Suggest a correctionAdd the trust badge

Chain of custody

Scanners check what the code says. This traces who ships Auto claude code research in sleep and whether that has changed: from the source repository, through how changes are reviewed and released, to the code you run. These are the checks for OWASP ASI04 Agentic Supply Chain Vulnerabilities and, for skills, AST02 Supply Chain Compromise.

  1. Source Partly signed

    github.com/wanshuiyin/Auto-claude-code-research-in-sleep, MIT, last pushed 2026-10-07. 27% of the last 100 commits carry a verified signature; the rest can't be tied to a verified identity.

  2. Review and release Mixed

    OpenSSF Scorecard rates the repository's practices 4.1/10 (scanned Oct 8, 2026). The checks that decide who can get a change released:

    • Code Review2
    • Branch Protection0
    • Signed Releases0
    • Dangerous Workflow10
    • Token Permissions0
    • Pinned Dependencies0
    All 18 Scorecard checks
    Binary-Artifacts 10
    Branch-Protection 0
    CI-Tests 9
    CII-Best-Practices 0
    Code-Review 2
    Contributors 10
    Dangerous-Workflow 10
    Dependency-Update-Tool 0
    Fuzzing 0
    License 10
    Maintained 10
    Packaging -1
    Pinned-Dependencies 0
    SAST 0
    Security-Policy 0
    Signed-Releases 0
    Token-Permissions 0
    Vulnerabilities 10

  3. Published packages None

    No registry package. Auto claude code research in sleep is used from its repository, so what you run is whatever you check out: pin a release tag or commit.

Changes to this chain

  • 2026-08-30 OSSF Scorecard: 4.1/10

Evidence behind this score

Coverage C: 2 of 5 independent evidence types found.

  • GitHub repository data
  • Package downloads (missing)
  • Supply-chain checks
  • Public actions (missing)
  • Community mentions (missing)

Verify this score yourself

Every build re-issues Auto claude code research in sleep’s score as an Ed25519-signed credential, valid for 7 days. You can check it offline against HVTracker’s published key; if anyone changes a number after signing, verification fails.

Signed credential (JSON) How to verify

What this score doesn’t check

It covers who ships the code, not what the code does. It doesn’t read the skill’s instructions for injected instructions, watch runtime behaviour, or find bugs nobody has disclosed yet. For that, run a content scanner before you install it, such as Cisco Skill Scanner.

How Auto claude code research in sleep compares in Agent Skills

  1. #157 Cc Fleet 56.0 ±0
  2. #158 Cc Sdd 56.0 ±0
  3. #159 Auto claude code research in sleep 56.0 this agent
  4. #160 Aaron Marketing Skills 56.0 ±0
  5. #161 Qiushi Skill 55.8 −0.2

Bars show each HVTrust score; the tick marks Auto claude code research in sleep’s 56.0.

Where the 56.0 comes from

HVTrust dimensions vs the Agent Skills average

56.0 / 100 · 100.0% confidence

Auto claude code research in sleep Agent Skills average (385 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
6.5 / 25
1.3 below avg 7.8
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
0.6 below avg 11.4
Transparency50% declared license · 50% OSSF Scorecard
12.0 / 17
in line with avg 12.0
Maintenance60% last-push freshness · 40% commit activity
16.8 / 20
2.7 above avg 14.1
AdoptionLog-scaled stars · package downloads
10.2 / 20
1.2 above avg 9.0

Quick Trust Read

What Would Improve It
Publish package provenance or release attestations for stronger supply-chain evidence.
Recent Changes
2026-10-16
Rank Moved
Rank dropped 23 spots (#136 → #159)
2026-09-30
Rank Moved
Rank rose 11 spots (#130 → #119)
2026-09-28
Rank Moved
Rank rose 11 spots (#141 → #130)
Maintainer Checklist
Raise Scorecard signals Current OSSF Scorecard is 4.1/10. Tighten the weakest checks to improve public safety evidence.
Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.
Increase signed commits Raise the share of verified-signed commits to make maintainer identity and release history easier to trust.
Compare with another agent Get email alerts for Auto claude code research in sleep View Agent Skills Report missing data
81.1
Activity sub-score · out of 100
#159
In Agent Skills

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade C reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage C is separate — it grades how many independent signal types back the score (2 of 5), so a high score on thin evidence stays visible. Full methodology →

Signals refreshed 2026-10-16 16:07 UTC · Repo last pushed 9 days ago

Rank Trend

2026-09-29 2026-10-16

Activity & Reach

Stars
17.6k
Forks
1.5k
Last Push
2026-10-07
9 days ago
Commits (4 wk)
22
Downloads (7d)
—
HN mentions (30d)
—
Open Issues
58
Rank Change
▼23
was #136

Analysis

Activity Inputs

81.1 / 100
StarsRepository reach
25.5 / 30
FreshnessLast push recency
23.8 / 25
ActivityRecent commits
17.0 / 25
CommunityFork signal
14.8 / 20

Common questions about Auto claude code research in sleep

Auto claude code research in sleep has a mixed signal profile. Some trust indicators are present, others are missing. Whether it is safe for your use case depends on which gaps matter to you — review the breakdown below before adopting in production.
Does Auto claude code research in sleep publish package provenance?
No published build provenance is currently detected for Auto claude code research in sleep. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does Auto claude code research in sleep have an OpenSSF Scorecard?
Auto claude code research in sleep has an OpenSSF Scorecard score of 4.1/10. The Scorecard checks for branch protection, signed releases, dependency updates, fuzzing, code review, and other supply-chain hygiene items. See the full check breakdown on this page.
Is Auto claude code research in sleep actively maintained?
Maintained. Last push was 9 days ago.
What license does Auto claude code research in sleep use?
Auto claude code research in sleep ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are Auto claude code research in sleep's commits signed?
27% of the last 100 commits to Auto claude code research in sleep are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.

Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.

AI agent surface

MCP, providers, tool surface
Scored in HVTrust

These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →

MCP Server Support
high confidence
Implemented
Auto claude code research in sleep appears to expose MCP server capabilities.
Detailed evidence is not shown in the public view.
External Service Dependencies
high confidence
3 detected
Public provider/service dependencies detected.
Credential signal: API keys or service config markers documented.
Tool / Plugin Surface
high confidence
Declared
Declared plugin/integration surface detected.
Detailed evidence is not shown in the public view.
Package Provenance Drift
N/A
No package source configured
Detailed evidence is not shown in the public view.
  • MCP signal live
  • External deps live
  • Tool / plugin surface live
  • Package provenance drift live
How this surface has changed

Detected changes to Auto claude code research in sleep's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.

2026-09-23
Tool Surface Changed
Detected tool/plugin surface changed: none → declared
2026-09-23
Provider Added
Runtime surface grew — new detected provider dependencies: Anthropic, Google Gemini, OpenAI
2026-09-23
Mcp Status Changed
Detected MCP server support changed: none → implemented
2026-09-16
Tool Surface Changed
Detected tool/plugin surface changed: none → declared
2026-09-16
Provider Added
Runtime surface grew — new detected provider dependency: Anthropic

Maintain Auto claude code research in sleep?

For maintainers

HVTrust scores Auto claude code research in sleep from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.

Submit a correction → Add the trust badge

Reputation Timeline

Signal history
Rank 11Listed 2HVTrust 2Grade 2Surface 2Surface 2Scorecard 1Delisted 1MCP 1
2026-10-16
Rank Moved
Rank dropped 23 spots (#136 → #159)
2026-09-30
Rank Moved
Rank rose 11 spots (#130 → #119)
2026-09-28
Rank Moved
Rank rose 11 spots (#141 → #130)
2026-09-25
Rank Moved
Rank dropped 17 spots (#122 → #139)
2026-09-23
Tool Surface Changed
Detected tool/plugin surface changed: none → declared
2026-09-23
Provider Added
Runtime surface grew — new detected provider dependencies: Anthropic, Google Gemini, OpenAI
2026-09-23
Mcp Status Changed
Detected MCP server support changed: none → implemented
2026-09-23
Grade Changed
Trust grade D → C
2026-09-23
Rank Moved
Rank dropped 65 spots (#54 → #119)
2026-09-23
HVTrust Changed
HVTrust up 9.3pts (48.0 → 57.3)
2026-09-22
Newly Listed
First tracked at rank #54
2026-09-21
Removed From Active Tracking
Removed from active tracking
2026-09-16
Tool Surface Changed
Detected tool/plugin surface changed: none → declared
2026-09-16
Provider Added
Runtime surface grew — new detected provider dependency: Anthropic
2026-09-05
Rank Moved
Rank dropped 17 spots (#69 → #86)
2026-08-30
Scorecard Added
OSSF Scorecard: 4.1/10
2026-08-30
Grade Changed
Trust grade D → C
2026-08-30
Rank Moved
Rank rose 149 spots (#199 → #50)
2026-08-30
HVTrust Changed
HVTrust up 33.2pts (25.2 → 58.4)
2026-08-29
Rank Moved
Rank dropped 33 spots (#166 → #199)
2026-08-28
Rank Moved
Rank dropped 26 spots (#140 → #166)
2026-08-27
Rank Moved
Rank dropped 21 spots (#119 → #140)
2026-08-26
Rank Moved
Rank dropped 65 spots (#54 → #119)
2026-08-11
Newly Listed
First tracked at rank #48
GitHub →

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 56.0 Grade C
Markdown:
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Other agents in Agent Skills

Data sources
GitHub REST API (repo, commits, stars, forks, license) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.4 · Raw JSON