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AF sf-ai-agentforce-observability

Agentforce session tracing extraction and analysis. TRIGGER when: user extracts STDM data from Data Cloud, analyzes agent session traces, debugs agent conversations via telemetry, or works with .parquet files from Agentforce. DO NOT TRIGGER when: testing agents (use sf-ai-agentforce-testing), Apex debug logs (use sf-debug), or building agents (use sf-ai-agentforce).

ClawHub Agent Skills author: Anush DSouza v1.0.0 MIT-0 36 files body ≈ 1 637 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 68/100 · Will not run — References files that are not bundled: ../sf-ai-agentforce-testing/SKILL.md, ../sf-debug/SKILL.md, ../sf-ai-agentforce/SKILL.md

AnalyzerSalesforceAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
99
Quality 40%
77
Run on models
none yet
Process rating
F
68/100
Will not run
References files that are not bundled: ../sf-ai-agentforce-testing/SKILL.md, ../sf-debug/SKILL.md, ../sf-ai-agentforce/SKILL.md
Tools and files w 18
0
Failures and branches w 10
55
Result and completion w 14
60
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-high-entropy-token references/query-patterns.md:769
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    - `{{KNOWLEDGE_ARTICLE_DMO}}`: Your org's Knowledge DMO name (e.g., `Know…dlm`)
    detector

Files scanned: 36. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../sf-ai-agentforce-testing/SKILL.md
  • warning missing-ref reference to a missing file: ../sf-debug/SKILL.md
  • warning missing-ref reference to a missing file: ../sf-ai-agentforce/SKILL.md
  • warning missing-ref reference to a missing file: ../sf-ai-agentscript/SKILL.md
  • warning missing-ref reference to a missing file: ../sf-connected-apps/SKILL.md
  • warning missing-ref reference to a missing file: ../sf-flow/SKILL.md
  • warning missing-ref reference to a missing file: ../sf-apex/SKILL.md

Process rating: all ten parameters 68/100

Will not run. References files that are not bundled: ../sf-ai-agentforce-testing/SKILL.md, ../sf-debug/SKILL.md, ../sf-ai-agentforce/SKILL.md
  • 0Tools and files. 7 referenced file(s) missing: ../sf-ai-agentforce-testing/SKILL.md, ../sf-debug/SKILL.md, ../sf-ai-agentforce/SKILL.md
  • 55Failures and branches. 1 branches
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 70 steps
  • 100Inputs and preconditions. Inputs and preconditions are listed
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1637 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • low 10 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • -37 of 7 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 368: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 70 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (15 of 15)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: suspicious
This Salesforce observability skill is mostly coherent, but it handles very sensitive trace data and includes under-scoped internal trace-capture guidance that users should review carefully before installing.
LLM: suspicious (high) · VirusTotal: · 29 May 2026