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SKILL verified MIT Self-run

Sf Debug

skill-jaganpro-sf-skills-sf-debug · by Jaganpro

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Install

$ agentstack add skill-jaganpro-sf-skills-sf-debug

✓ 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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Archived

Declared compatibility

Claude CodeClaude Desktop

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

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

sf-debug: Salesforce Debug Log Analysis & Troubleshooting

Use this skill when the user needs root-cause analysis from debug logs: governor-limit diagnosis, stack-trace interpretation, slow-query investigation, heap / CPU pressure analysis, or a reproduction-to-fix loop based on log evidence.

When This Skill Owns the Task

Use sf-debug when the work involves:

  • .log files from Salesforce
  • stack traces and exception analysis
  • governor limits
  • SOQL / DML / CPU / heap troubleshooting
  • query-plan or performance evidence extracted from logs

Delegate elsewhere when the user is:

  • running or repairing Apex tests → [sf-testing](../sf-testing/SKILL.md)
  • implementing the code fix → [sf-apex](../sf-apex/SKILL.md)
  • debugging Agentforce session traces / parquet telemetry → [sf-ai-agentforce-observability](../sf-ai-agentforce-observability/SKILL.md)

Required Context to Gather First

Ask for or infer:

  • org alias
  • failing transaction / user flow / test name
  • approximate timestamp or transaction window
  • user / record / request ID if known
  • whether the goal is diagnosis only or diagnosis + fix loop

Recommended Workflow

1. Retrieve logs

sf apex list log --target-org  --json
sf apex get log --log-id  --target-org 
sf apex tail log --target-org  --color

2. Analyze in this order

  1. entry point and transaction type
  2. exceptions / fatal errors
  3. governor limits
  4. repeated SOQL / DML patterns
  5. CPU / heap hotspots
  6. callout timing and external failures

3. Classify severity

  • Critical — runtime failure, hard limit, corruption risk
  • Warning — near-limit, non-selective query, slow path
  • Info — optimization opportunity or hygiene issue

4. Recommend the smallest correct fix

Prefer fixes that are:

  • root-cause oriented
  • bulk-safe
  • testable
  • easy to verify with a rerun

Expanded workflow: [references/analysis-playbook.md](references/analysis-playbook.md)


High-Signal Issue Patterns

| Issue | Primary signal | Default fix direction | |---|---|---| | SOQL in loop | repeating SOQL_EXECUTE_BEGIN in a repeated call path | query once, use maps / grouped collections | | DML in loop | repeated DML_BEGIN patterns | collect rows, bulk DML once | | Non-selective query | high rows scanned / poor selectivity | add indexed filters, reduce scope | | CPU pressure | CPU usage approaching sync limit | reduce algorithmic complexity, cache, async where valid | | Heap pressure | heap usage approaching sync limit | stream with SOQL for-loops, reduce in-memory data | | Null pointer / fatal error | EXCEPTION_THROWN / FATAL_ERROR | guard null assumptions, fix empty-query handling |

Expanded examples: [references/common-issues.md](references/common-issues.md)


Output Format

When finishing analysis, report in this order:

  1. What failed
  2. Where it failed (class / method / line / transaction stage)
  3. Why it failed (root cause, not just symptom)
  4. How severe it is
  5. Recommended fix
  6. Verification step

Suggested shape:

Issue: 
Location: 
Root cause: 
Severity: Critical | Warning | Info
Fix: 
Verify: 

Cross-Skill Integration

| Need | Delegate to | Reason | |---|---|---| | Implement Apex fix | [sf-apex](../sf-apex/SKILL.md) | code change generation / review | | Reproduce via tests | [sf-testing](../sf-testing/SKILL.md) | test execution and coverage loop | | Deploy fix | [sf-deploy](../sf-deploy/SKILL.md) | deployment orchestration | | Create debugging data | [sf-data](../sf-data/SKILL.md) | targeted seed / repro data |


Reference Map

Start here

  • [references/analysis-playbook.md](references/analysis-playbook.md)
  • [references/common-issues.md](references/common-issues.md)
  • [references/cli-commands.md](references/cli-commands.md)

Deep references

  • [references/debug-log-reference.md](references/debug-log-reference.md)
  • [references/log-analysis-tools.md](references/log-analysis-tools.md)
  • [references/benchmarking-guide.md](references/benchmarking-guide.md)

Rubric

  • [references/scoring-rubric.md](references/scoring-rubric.md)

Score Guide

| Score | Meaning | |---|---| | 90+ | Expert analysis with strong fix guidance | | 80–89 | Good analysis with minor gaps | | 70–79 | Acceptable but may miss secondary issues | | 60–69 | Partial diagnosis only | | < 60 | Incomplete analysis |

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.