sf-ai-agentforce-observability
Audited by Runlayer on Mar 14, 2026
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'
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.
Malicious tool definition detected
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.
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]
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Risky tool definition detected
Malicious tool definition detected
Malicious tool definition detected
Tool: sf-ai-agentforce-observability/references/builder-trace-api.md [3/3]
Tool passed security scan
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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
Malicious tool definition detected
Malicious tool definition detected
Malicious tool definition detected
Tool: sf-ai-agentforce-observability/scripts/datacloud_client.py [3/3]
Risky tool definition detected
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.
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Malicious tool definition detected
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