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SKILL verified MIT Self-run

Sentryskills Output

skill-ai45lab-sentryskills-sentryskills-output · by AI45Lab

Execute privacy and sensitive leakage guarding before output. As long as context contains sensitive information, must trigger this skill even if user only requests explanation/summary. Default to downgrade expression for tool conclusions not multi-source verified.

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Install

$ agentstack add skill-ai45lab-sentryskills-sentryskills-output

✓ 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
0 installs to date
no reviews yet
1mo 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

SentrySkills Output Privacy Guard

Role

As mandatory gate before final output to prevent "explanatory answer leakage."

Input

  1. Text to be output
  2. sensitivity_state
  3. trust_annotations
  4. Whether multi-source verification completed

Output

  1. leakage_detected
  2. redaction_applied
  3. confidence_level
  4. safe_response
  5. output_decision (allow|downgrade|block)
  6. output_rule_action and optional output_model_action

Mandatory Checks

  1. Credentials, keys, privacy fields
  2. Restatement and reconstruction leakage of sensitive context
  3. Whether single-source tool conclusions are over-deterministically expressed
  4. Multi-source verification status

Disposition Rules

  1. Sensitive leakage detected: redact or block.
  2. Multi-source verification not completed: downgrade, output uncertainty notice.
  3. Multi-source consistent and no sensitive leakage: can allow.
  4. Output rules run before output model analysis; model results may tighten but not relax rule decisions.
  5. Prompt-injection phrases in output text are not blocking by themselves unless they create leakage, unsafe reconstruction, or executable dangerous content.

Output Template

## Output Guard Result
- output_decision: 
- leakage_detected: 
- redaction_applied: 
- confidence_level: 
- safe_response: 

Recommended Script Calls

  1. If trust_annotations contains single-tool source conclusions, first call ../shared/scripts/verify_multi_source_template.py.
  2. When conclusion has not reached multi_source_verified, output_decision should not default to allow.

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.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.