Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/divingsbysangam/salesforce-compound-engineering-pluginnpx agentmods add skills/divingsbysangam/salesforce-compound-engineering-plugin/sf-product-pulseWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/divingsbysangam/salesforce-compound-engineering-plugin/sf-product-pulse)<a href="https://agentmods.dev/skills/divingsbysangam/salesforce-compound-engineering-plugin/sf-product-pulse"><img src="https://agentmods.dev/badge/skills/divingsbysangam/salesforce-compound-engineering-plugin/sf-product-pulse/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/divingsbysangam/salesforce-compound-engineering-plugin/sf-product-pulse"><img src="https://agentmods.dev/badge/skills/divingsbysangam/salesforce-compound-engineering-plugin/sf-product-pulse.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00137 | $0.01580 |
| Opus 5 | $0.00068 | $0.00790 |
| Sonnet 5 | $0.00027 | $0.00316 |
| Haiku 4.5 | $0.00014 | $0.00158 |
Grade A, and why
sf-product-pulse scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/sf-product-pulse
Persona dispatch. This skill dispatches personas as isolated subagents — see the
dispatching-parallel-personasskill for the mechanics (isolated subagents, same-response parallelism, same-file-conflict check).sf-business-analyst-pulseis this skill's own persona atreferences/personas/sf-business-analyst-pulse.md;sf-issue-intelligence-analyst, when used, lives at../sf-plan/references/personas/.
Principles enforced: especially 3 (stay in the loop — the pulse feeds human judgment, it doesn't act) and 7 (outsource thinking, not understanding — surface the numbers, the human decides). See
PRINCIPLES.md.
Produce a compact, single-page pulse report for a Salesforce org over a time window, then surface the key points in chat and save the full report to docs/pulse-reports/. The skill is read-only: it queries the org via SOQL / Tooling API / metadata / /limits (through the salesforce-dx MCP or sf CLI) and reads requirements docs. It never deploys, mutates data, or changes metadata. No PII in saved reports (no user emails, names, account IDs, or record content).
This is the Salesforce-flavored, role-aware counterpart to the upstream product pulse: it serves both the BA/consultant (business outcomes) and the dev/admin (org health).
Interaction Method
Use the platform's blocking question tool: AskUserQuestion in Claude Code (call ToolSearch with select:AskUserQuestion first if its schema isn't loaded), request_user_input in Codex, ask_user in Gemini. Fall back to numbered options only when no blocking tool exists or the call errors. Never silently skip the question.
Inputs
#$ARGUMENTS
Parse the argument for a window (7d, 30d, sprint/current sprint, default 7d) and an optional mode (business, technical, full).
Phase 0: Require a connected org
This skill requires live org data. Verify an authenticated default org first (sf org display --json, or get_username / list_all_orgs via the salesforce-dx MCP).
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 114 lines · 137 tokens per session scan A 11ecb8592b2a
sf-product-pulse is a skill published in the GitHub repository divingsbysangam/salesforce-compound-engineering-plugin (10 stars, last pushed 6d ago), licensed MIT. It adds 137 tokens to every session and 1,580 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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