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.
npx skills add kugamon/salesforce-isv-skills --skill sf-message-grammar-auditgit clone --depth 1 https://github.com/kugamon/salesforce-isv-skillsWrote 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/kugamon/salesforce-isv-skills/sf-message-grammar-audit)<a href="https://agentmods.dev/skills/kugamon/salesforce-isv-skills/sf-message-grammar-audit"><img src="https://agentmods.dev/badge/skills/kugamon/salesforce-isv-skills/sf-message-grammar-audit/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/kugamon/salesforce-isv-skills/sf-message-grammar-audit"><img src="https://agentmods.dev/badge/skills/kugamon/salesforce-isv-skills/sf-message-grammar-audit.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 | $0.00198 | $0.02138 |
| Opus 5.5 | $0.00079 | $0.00855 |
| Sonnet 5.5 | $0.00040 | $0.00428 |
| Haiku 4.5 | $0.00020 | $0.00214 |
Grade A, and why
sf-message-grammar-audit 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 1mo 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Salesforce Managed Package — Message Grammar Audit
Generate an internal remediation report identifying grammatical issues in user-facing messages across a Salesforce managed package. This skill builds on the same extraction pipeline as sf-message-catalog but adds a grammar analysis pass and produces a different output format focused on actionable fixes.
Before You Begin
- Read the docx skill — locate and read the
docxSKILL.md in your available skills. You will generate a .docx using docx-js. - Check if a recent message catalog exists. If the user has already run
sf-message-catalogand the output is available, you can read that file to extract messages instead of re-querying Salesforce. Ask the user. - If no catalog exists, follow the same extraction process as
sf-message-catalog(query Tooling API across all five component types). The extraction instructions are identical — refer to that skill for the full Tooling API query patterns and message-detection regex. - Identify the Salesforce org connector. Ask the user which connected Salesforce org to query. Look for available MCP tools matching
mcp__salesforce-*__tooling_execute. If multiple orgs are connected, ask the user to pick one. - Identify the managed package namespace prefix (e.g.,
kugo2p).
Phase 1: Extract All Messages
Follow the same five-type extraction as sf-message-catalog:
- Apex Classes + Triggers —
addError(),ApexPages.addMessage(),throw new ...Exception() - LWC —
ShowToastEvent,setCustomValidity,.catch()handlers, custom error components - Aura —
force:showToast,component.set("v.errorMessage"),ServerActionService,c:Alert/c:Toast - VF Pages —
apex:pageMessages,apex:pageMessage, JSalert()/confirm(), conditional panels - VF Components — inline validation text, watermarks, conditional
apex:outputText
Parallelize extraction across component types using subagents when possible.
For each message, record: component name, method/context, message text, condition, severity, and source type (Apex/LWC/Aura/VF Page/VF Component).
What ships with it
2 files 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.
- 1mo ago First seen · 168 lines · 198 tokens per session scan A 5f6a52ce5e7a
sf-message-grammar-audit is a skill published in the GitHub repository kugamon/salesforce-isv-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 198 tokens to every session and 2,138 once invoked, about $0.0008 per session on Opus 5.5. 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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