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Datalad Status

skill-neuroanalytics-data-science-harness-datalad-status · by neuroanalytics

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Install

$ agentstack add skill-neuroanalytics-data-science-harness-datalad-status

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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3d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming — see below.

Preview Execution monitoring

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About

Skill: datalad-status

Inspect the current state of a DataLad dataset — what files are modified, untracked, added, or deleted — without making any changes.

Steps

  1. Verify DataLad context — check for .datalad/ in the current directory or any

parent: ``bash ls .datalad/ 2>/dev/null || git rev-parse --show-toplevel ``

  • Dataset found: continue.
  • No dataset found: inform the user and suggest /datalad-init or plain git status.
  1. Run datalad status — optionally scoped to paths from $ARGUMENTS:

``bash datalad status [paths...] `` Present the full output to the user. Additional flags to mention if relevant:

  • --annex — shows verbose annex content state (number of copies, remote presence)

for each annexed file; useful for understanding data availability

  • --untracked=no — suppresses untracked files from output (useful in large repos

with many untracked directories that would otherwise clutter the output)

  1. Interpret the status symbols — explain each symbol present in the output:

| Symbol | Meaning | |--------|---------| | modified | Content changed since last save | | untracked | File exists on disk but is not recorded in the dataset | | deleted | File was tracked but is now missing from disk | | added | New file staged but not yet saved | | clean | No changes — working tree matches the last commit |

For annexed files, also explain:

  • content present: file pointer exists and content is available locally
  • content missing: file pointer exists but content was dropped (pointer only)
  1. Suggest next actions — based on what was found:
  • Modified or untracked files → suggest /datalad-save
  • Missing annex content → suggest datalad get to retrieve it
  • Output files that should have been produced by a command → suggest /datalad-run
  • Clean working tree → confirm no action needed

Constraints

  • Read-only — never run any command that modifies the dataset, stages files, or commits.
  • Always explain every status symbol that appears in the output — never show raw output

without interpretation.

  • If the user asks about a specific path, scope the status command to that path.
  • Do not confuse datalad status (dataset state) with git status — they overlap but

DataLad status correctly handles annexed files that git would misreport.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.