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Showing 2 resources for "idor"
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Rollout signal scan

1 rollout risk signal in current results

Biggest gaps: package integrity. 0 entries have 2+ required gaps.

2 scanned

Source provenance

Source provenance is broadly covered in current results.

good

100% (2/2)

Metadata review

Metadata review is broadly covered in current results.

good

100% (2/2)

Safety notes

Safety notes is broadly covered in current results.

good

100% (2/2)

Privacy notes

Privacy notes is broadly covered in current results.

good

100% (2/2)

Package integrity

Package integrity is sparse; verify before rollout decisions.

risk

0% (0/2)

Install payload

Install payload is broadly covered in current results.

good

100% (2/2)

Adoption queue

Browse adoption queue · balanced

0/2 visible results are ready for staged adoption under this preset.

ready 0caution 2hold 0

MCP Feedback Enhanced

No required blockers for this preset.

caution

64/100

Collect package checksum or signed artifact information.

mcp/mcp-feedback-enhanced · trust review · confidence 83%

Decision confidence

Decision confidence scan · balanced

0/2 results are high-confidence for the selected preset.

high 0medium 2low 0

MCP Feedback Enhanced

Address Package integrity before broader rollout.

medium

68/100

Missing: Package integrity

mcp/mcp-feedback-enhanced · trust review

Freshness distribution

Current results are broadly fresh

Median age 21 days; all 2 scanned entries are within 90 days.

median 21d

Fresh

≤ 30 days

50%

1 entry

Recent

31–90 days

50%

1 entry

Aging

91–180 days

0%

0 entries

Stale

> 180 days

0%

0 entries

rulesReview firstSource-backedReview firstClaude Code

Source-backed rules for reviewing AI-generated endpoints and data-access code before merge for insecure direct object reference risk, covering per-request object-level authorization checks, scoped database lookups, identifier exposure, and consistent enforcement across read, write, and admin operations.

Safety Privacy
mcpReview firstSource-backedReview firstClaude CodeClaude Desktop

Interactive feedback MCP server that opens a web or Tauri desktop interface so AI coding agents can ask the human for confirmation, structured feedback, screenshots, prompt snippets, and follow-up direction during development.

Safety Privacy