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 forcedotcom/sf-skills --skill platform-soql-querygit clone --depth 1 https://github.com/forcedotcom/sf-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/forcedotcom/sf-skills/platform-soql-query)<a href="https://agentmods.dev/skills/forcedotcom/sf-skills/platform-soql-query"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/platform-soql-query/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/forcedotcom/sf-skills/platform-soql-query"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/platform-soql-query.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk pass
- 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 | $0.00132 | $0.02570 |
| Opus 5 | $0.00066 | $0.01285 |
| Sonnet 5 | $0.00026 | $0.00514 |
| Haiku 4.5 | $0.00013 | $0.00257 |
Grade A, and why
platform-soql-query 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 5d 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 — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
platform-soql-query: Salesforce SOQL Query Expert
Use this skill when the user needs SOQL/SOSL authoring or optimization: natural-language-to-query generation, relationship queries, aggregates, query-plan analysis, and performance/safety improvements for Salesforce queries.
When This Skill Owns the Task
Use platform-soql-query when the work involves:
.soqlfiles- query generation from natural language
- relationship queries and aggregate queries
- query optimization and selectivity analysis
- SOQL/SOSL syntax and governor-aware design
Delegate elsewhere when the user is:
- performing bulk data operations → platform-data-manage
- embedding query logic inside broader Apex implementation → platform-apex-generate
- debugging via logs rather than query shape → platform-apex-logs-debug
Required Context to Gather First
Ask for or infer:
- target object(s)
- fields needed
- filter criteria
- sort / limit requirements
- whether the query is for display, automation, reporting-like analysis, or Apex usage
- whether performance / selectivity is already a concern
Recommended Workflow
1. Generate the simplest correct query
Prefer:
- only needed fields
- clear WHERE criteria
- reasonable LIMIT when appropriate
- relationship depth only as deep as necessary
While drafting, call mcp__plugin_salesforce-development_salesforce-lsp__complete_soql with the partial query to get schema-aware completion of object, field, and relationship names against the connected org — this avoids guessing API names that then fail validation. On error envelope or unavailable ({error: <code>} / tool not registered), skip completion and rely on the syntax reference in references/soql-syntax-reference.md.
When the query already lives inside an Apex class (optimizing or debugging embedded SOQL rather than authoring new), call mcp__plugin_salesforce-development_salesforce-lsp__extract_soql_from_apex with the .cls file to pull the SOQL strings out before analyzing them, so you optimize the exact query the class runs.
What ships with it
16 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.
- assets/aggregate-queries.soql 9.4 KB
- assets/basic-queries.soql 7.4 KB
- assets/bulkified-query-pattern.cls 11 KB
- assets/optimization-patterns.soql 11 KB
- assets/relationship-queries.soql 7.5 KB
- assets/selector-class.cls 8.4 KB
- README.md 1.7 KB
- references/anti-patterns.md 8.7 KB
- references/cli-commands.md 7.2 KB
- references/field-coverage-rules.md 14 KB
- references/query-optimization.md 3.2 KB
- references/selector-patterns.md 14 KB
- references/soql-reference.md 6.4 KB
- references/soql-syntax-reference.md 4.5 KB
- scripts/post-tool-validate.py 12 KB runs code
- SKILL.overlay.patch 6.4 KB
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.
- 5d ago First seen · 196 lines · 132 tokens per session scan A 591188ff3cd1
platform-soql-query is a skill published in the GitHub repository forcedotcom/sf-skills (974 stars, last pushed yesterday), licensed Apache-2.0. It adds 132 tokens to every session and 2,570 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 2026-09-03.
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