Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/BanibrataChatterjee/AwesomeSalesforceSkillsWrote 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/commands/banibratachatterjee/awesomesalesforceskills/review-agentforce-action)<a href="https://agentmods.dev/commands/banibratachatterjee/awesomesalesforceskills/review-agentforce-action"><img src="https://agentmods.dev/badge/commands/banibratachatterjee/awesomesalesforceskills/review-agentforce-action/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/commands/banibratachatterjee/awesomesalesforceskills/review-agentforce-action"><img src="https://agentmods.dev/badge/commands/banibratachatterjee/awesomesalesforceskills/review-agentforce-action.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00000 | $0.00281 |
| Opus 5 | $0.00000 | $0.00140 |
| Sonnet 5 | $0.00000 | $0.00056 |
| Haiku 4.5 | $0.00000 | $0.00028 |
Grade A, and why
review-agentforce-action 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 9d 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.
What it actually says
/review-agentforce-action — Review Agentforce agent/action quality
Wraps agents/agentforce-action-reviewer/AGENT.md. Per-action A–F scorecard, topic coherence, guardrails gap list, observability and persona review.
Step 1 — Collect inputs
1. Agent id or agent developer name?
2. Target org alias?
3. Review depth? topic_only | per_action (default)
Step 2 — Load the agent
Read agents/agentforce-action-reviewer/AGENT.md + mandatory reads.
Step 3 — Execute the plan
Fetch agent + topics + actions → per-action scoring → topic coherence → guardrails → persona + handoff → observability → remediation plan.
Step 4 — Deliver the output
Summary, per-action scorecard, topic coherence table, guardrails gaps, observability + persona review, remediation plan, Process Observations, citations.
Step 5 — Recommend follow-ups
/govern-prompt-libraryfor template sprawl/catalog-integrationsif agent actions do callouts
What this command does NOT do
- Does not modify agents, topics, actions, or prompts.
- Does not deploy or activate agents.
- Does not generate agent test data.
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.
- 9d ago First seen · 37 lines · 0 tokens per session scan A 9152fea978ed
review-agentforce-action is a command published in the GitHub repository BanibrataChatterjee/AwesomeSalesforceSkills (3 stars, last pushed 4mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 281 tokens. 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 2026-09-03.
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review-branch
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init
Install the formatters this repository needs, with every command visible before it runs.
merge-conflict-analysis
You are analyzing merge conflicts for PR #${{ pr-number }}.
repo-audit
Audit a codebase (local or remote GitHub/GitLab) against architecture principles and requirements, surfacing drift, risk, and missing decisions.
argos
A command for checking whether an implementation matches its design deliverables. Its Korean description compares the work to the design as part of a completion inspection.