forcedotcom/sf-skills is a collection of reusable instructions that help AI coding agents build and work with Salesforce applications and platform features. Developers use it for Agentforce agents, Lightning apps, Flow, Apex, SOQL, Lightning Web Components, and related Salesforce configuration. The catalogue entries are the repository’s skills, plugins, commands, MCP servers, and agents for AI tools that support skills.
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 dx-org-shape-managegit 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/dx-org-shape-manage)<a href="https://agentmods.dev/skills/forcedotcom/sf-skills/dx-org-shape-manage"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/dx-org-shape-manage/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/dx-org-shape-manage"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/dx-org-shape-manage.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 29 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 29 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00164 | $0.02679 |
| Opus 5.5 | $0.00066 | $0.01072 |
| Sonnet 5.5 | $0.00033 | $0.00536 |
| Haiku 4.5 | $0.00016 | $0.00268 |
Grade A, and why
dx-org-shape-manage 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.
How it starts
The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dx-org-shape-manage
Coordinates the full lifecycle of Salesforce org shapes — create, list, and delete — via sf org create shape, sf org list shape, and sf org delete shape. An org shape captures the baseline setup of a source org (features, limits, edition, and Metadata API settings) without its data or metadata.
Tool Restrictions
Use ONLY the Bash tool to execute the sf org ... shape commands. Do NOT use MCP tools — ignore them completely.
Output artifacts for eval/testing: ALWAYS write the command's complete JSON response to a file when an output directory is available. Do NOT ask the user what file to write — this skill defines the filenames. After executing each command: (1) if the user specified an output path (e.g. "write all generated files into folder X"), write there immediately; (2) otherwise run [ -d force-app/main/adk-eval-output/ ] && echo 'force-app/main/adk-eval-output' to detect the eval directory; (3) write the command's full, unmodified JSON response (including the status/result/warnings wrapper) to <output-dir>/<filename> using these filenames: create-shape-result.json for shape creation, list-shapes-result.json for listing shapes, list-shapes-inactive-result.json for the inactive-shapes SOQL query, or delete-shapes-result.json for shape deletion. This is the generated output — write it without asking. Do NOT say "no files to generate" for these operations; the JSON result IS the output artifact.
Scope
- In scope: Creating (
sf org create shape), listing (sf org list shape), listing including inactive shapes for a specific source org (SOQL againstShapeRepresentation), and deleting (sf org delete shape) org shapes - Out of scope: Creating/checking/listing/deleting snapshots (use
dx-org-snapshot-manage), creating scratch orgs (usedx-org-manage)
Required Inputs
Infer from the user's request:
- Operation: create, list, list-including-inactive, or delete (see Workflow step 1)
- Source org (create, delete, & list-including-inactive): Username or alias of the org to shape / whose shapes to delete or query. Passed via
--target-org. Plain listing (Active/InProgress only) needs no source org.
What ships with it
6 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.
- 9d ago Changed · +1 lines 5ff11e7db4ce
- 28d ago Changed · +1 lines · +17 tokens per session 5f74cc71ef25
- 1mo ago First seen · 153 lines · 147 tokens per session scan A 81bbcdb008c5
dx-org-shape-manage is a skill published in the GitHub repository forcedotcom/sf-skills (1,097 stars, last pushed today), licensed Apache-2.0. It adds 164 tokens to every session and 2,679 once invoked, about $0.0007 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 2026-09-03.
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