sf-ai-agentforce-observability

Fail

Audited by Runlayer on Mar 14, 2026

Risk Level: HIGH
Scan Summary
Max Score
96%
Files
37
Flagged
23
Chunks
61
Flagged Files (23)
sf-ai-agentforce-observability/scripts/cli.pyHIGH
96.4%

Malicious tool definition detected

Examples: stdm-extract find-hallucinations --data-dir ./stdm_data stdm-extract find-hallucinations --data-dir ./stdm_data --limit 50 """ from scripts.analyzer import STDMAnalyzer try: analyzer = STDMAnalyzer(Path(data_dir)) # Get summary first summary = analyzer.hallucination_summary() summary_row = summary.row(0, named=True) console.print(f" [bold cyan]🔍 HALLUCINATION ANALYSIS[/bold cyan]") console.print("═" * 60) console.print(f"Total hallucinations: [yellow]{summary_row['total_hallucinations'

sf-ai-agentforce-observability/scripts/auth.pyHIGH
96.3%

Malicious tool definition detected

Tool: sf-ai-agentforce-observability/scripts/auth.py [2/2] Description: = time.time() + 3600 - TOKEN_REFRESH_BUFFER # Update instance URL if different if token_response.get("instance_url"): self._org_info = OrgInfo( instance_url=token_response["instance_url"], username=self.org_info.username, is_sandbox=self.org_info.is_sandbox ) return self._token def get_headers(self) -> dict: """ Get HTTP headers with valid authorization.

sf-ai-agentforce-observability/references/auth-setup.mdHIGH
94.0%

Malicious tool definition detected

sf-ai-agentforce-observability/references/troubleshooting.mdHIGH
93.5%

Risky tool definition detected

--- ## Getting Help ### Debug Mode ```bash # Enable verbose logging python3 scripts/cli.py extract --org prod --verbose 2>&1 | tee debug.log ``` ### Check Data 360 Status ```bash # List available DMOs python3 -c " from scripts.auth import Data360Auth from scripts.datacloud_client import Data360Client auth = Data360Auth('prod', 'KEY') client = Data360Client(auth) dmos = client.list_dmos() for dmo in dmos: print(dmo.get('name')) " ``` ### Report Issues If you encounter issues not covered here: 1.

sf-ai-agentforce-observability/README.mdHIGH
93.3%

Malicious tool definition detected

```bash # Generate certificate openssl req -x509 -sha256 -nodes -days 365 -newkey rsa:2048 \ -keyout ~/.sf/jwt/myorg.key \ -out ~/.sf/jwt/myorg.crt \ -subj "/CN=DataCloudAuth" # Create External Client App (via sf-connected-apps skill) # Required scopes: cdp_query_api, cdp_profile_api ``` See [references/auth-setup.md](references/auth-setup.md) for detailed instructions.

Tool: sf-ai-agentforce-observability/README.md [2/2]

sf-ai-agentforce-observability/references/billing-and-troubleshooting.mdMEDIUM
89.9%

Risky tool definition detected

sf-ai-agentforce-observability/SKILL.mdMEDIUM
88.8%

Risky tool definition detected

sf-ai-agentforce-observability/references/data-model-reference.mdMEDIUM
87.9%

Malicious tool definition detected

sf-ai-agentforce-observability/references/builder-trace-api.mdMEDIUM
87.8%

Malicious tool definition detected

Tool: sf-ai-agentforce-observability/references/builder-trace-api.md [3/3]

sf-ai-agentforce-observability/references/query-patterns.mdMEDIUM
87.2%

Tool passed security scan

Risky tool definition detected

sf-ai-agentforce-observability/scripts/extractor.pyMEDIUM
87.1%

Malicious tool definition detected

Extract interactions if show_progress: console.print("[cyan]Extracting interactions...[/cyan]") interaction_query = self._build_child_query( "interactions", session_ids, "ssot__AiAgentSessionId__c" ) interaction_path = self.output_dir / "interactions" result.interactions_count = self.client.query_to_parquet( interaction_query, interaction_path / "data.parquet", schema=SCHEMAS["interactions"], show_progress=show_progress, append=append ) if show_progress: console.print(f" [green]✓[/green] {result

sf-ai-agentforce-observability/assets/analysis/message-timeline.pyMEDIUM
83.8%

Malicious tool definition detected

sf-ai-agentforce-observability/assets/analysis/step-distribution.pyMEDIUM
77.9%

Malicious tool definition detected

sf-ai-agentforce-observability/scripts/datacloud_client.pyMEDIUM
77.4%

Malicious tool definition detected

Tool: sf-ai-agentforce-observability/scripts/datacloud_client.py [3/3]

sf-ai-agentforce-observability/references/agent-execution-lifecycle.mdMEDIUM
76.7%

Risky tool definition detected

sf-ai-agentforce-observability/scripts/__init__.pyMEDIUM
76.0%

Malicious tool definition detected

Tool: sf-ai-agentforce-observability/scripts/__init__.py Description: """ sf-ai-agentforce-observability: Agentforce Session Tracing Extraction & Analysis This package provides tools to extract and analyze Agentforce session tracing data from Salesforce Data Cloud.

sf-ai-agentforce-observability/.gitignoreLOW
73.0%

Malicious tool definition detected

sf-ai-agentforce-observability/scripts/analyzer.pyLOW
72.1%

Malicious tool definition detected

sf-ai-agentforce-observability/.claude/hooks.yamlLOW
69.2%

Tool passed security scan

sf-ai-agentforce-observability/references/debugging-sessions.mdLOW
67.9%

Tool passed security scan

sf-ai-agentforce-observability/assets/analysis/session-summary.pyLOW
59.6%

Tool passed security scan

sf-ai-agentforce-observability/references/basic-extraction.mdLOW
57.3%

Tool passed security scan

sf-ai-agentforce-observability/references/filtered-extraction.mdLOW
51.3%

Tool passed security scan

Passed Files (14)Click to expand
sf-ai-agentforce-observability/references/analysis-cookbook.mdOK
47.7%

Tool passed security scan

sf-ai-agentforce-observability/assets/queries/sessions.sqlOK
46.1%

Tool passed security scan

sf-ai-agentforce-observability/assets/queries/messages.sqlOK
45.8%

Tool passed security scan

sf-ai-agentforce-observability/references/analysis-examples.mdOK
39.8%

Tool passed security scan

sf-ai-agentforce-observability/assets/queries/interactions.sqlOK
39.1%

Tool passed security scan

sf-ai-agentforce-observability/references/client-demo-queries.mdOK
38.8%

Tool passed security scan

sf-ai-agentforce-observability/scripts/models.pyOK
37.8%

Tool passed security scan

sf-ai-agentforce-observability/references/cli-reference.mdOK
37.3%

Tool passed security scan

sf-ai-agentforce-observability/hooks/scripts/suggest-analysis.pyOK
32.0%

Tool passed security scan

sf-ai-agentforce-observability/CREDITS.mdOK
31.9%

Tool passed security scan

sf-ai-agentforce-observability/assets/queries/steps.sqlOK
26.1%

Tool passed security scan

sf-ai-agentforce-observability/references/polars-cheatsheet.mdOK
23.1%

Tool passed security scan

sf-ai-agentforce-observability/LICENSEOK
22.6%

Tool passed security scan

sf-ai-agentforce-observability/hooks/scripts/validate-extraction.pyOK
17.5%

Tool passed security scan

Audit Metadata
Max File Score
96%
Classification
KNOWN_SERVER_KNOWN_TOOL_LIST
Files Scanned
37
Files Flagged
23
Chunks Analyzed
61
Analyzed
Mar 14, 2026, 02:07 AM
Security Audit — runlayer — sf-ai-agentforce-observability