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 field-service-data-capture-form-editor-configuregit 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/field-service-data-capture-form-editor-configure)<a href="https://agentmods.dev/skills/forcedotcom/sf-skills/field-service-data-capture-form-editor-configure"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/field-service-data-capture-form-editor-configure/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/field-service-data-capture-form-editor-configure"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/field-service-data-capture-form-editor-configure.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 | $0.00156 | $0.02819 |
| Opus 5 | $0.00078 | $0.01409 |
| Sonnet 5 | $0.00031 | $0.00564 |
| Haiku 4.5 | $0.00016 | $0.00282 |
Grade A, and why
field-service-data-capture-form-editor-configure 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 4d 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Edit a Data Capture Form (in an org)
This skill patches a flow that already exists in a connected org. The source of truth is the deployed flow's Metadata JSON, retrieved live from the Tooling Flow sObject — there is no spec file, no .flow-meta.xml, no zip, no SFDX project. The skill retrieves the JSON, edits it in memory, and PATCHes it back.
Runtime contract: every org interaction in this skill is a REST call dispatched through the Codey runtime (
dispatchlocally / the hosted Headless 360 MCP in shared surfaces). This skill has no dependency on the execution environment — nosfCLI, no local Python, no temp files, no scratch SFDX project. Auth probes, the flow retrieve, and the redeploy are single REST calls; the JSON patch is authored by the agent inline. Do not shell out.
When this skill fires
- The user names an existing flow (
Inventory_Transfer,Asset_Inspection, etc.) and asks for a change. - The user pastes a Flow Builder URL and asks for a change.
- The user describes a deploy error or runtime bug in a deployed flow.
If the user is starting from scratch (prose, PDF, image), route to a design-* skill instead.
Workflow
1. Verify org auth
Confirm the connected org is reachable with a cheap auth probe — dispatch SELECT Id FROM Organization LIMIT 1 (GET /services/data/vXX.0/query):
- 2xx with
totalSize=1→ the session token is live; continue. - 401/403 → the org needs re-authentication. Surface that to the user and stop. (The Codey runtime resolves and refreshes the connected org — this skill does not manage org aliases.)
2. Retrieve the live flow's Metadata JSON
The Tooling Flow sObject exposes the flow definition as a JSON Metadata field — the same shape the deployer assembles and POSTs. Retrieving is a two-call round-trip, no CLI and no file:
-
Resolve the latest version id from the API name. Dispatch
GET /services/data/vXX.0/tooling/querywith:SELECT Id, ActiveVersionId, LatestVersionId FROM FlowDefinition WHERE DeveloperName = '<FlowApiName>'
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.
- 4d ago Changed 52cbe0f695b4
- 7d ago First seen · 135 lines · 156 tokens per session scan A e3b03fcf8b4c
field-service-data-capture-form-editor-configure is a skill published in the GitHub repository forcedotcom/sf-skills (987 stars, last pushed yesterday), licensed Apache-2.0. It adds 156 tokens to every session and 2,819 once invoked, about $0.0008 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 2026-09-05.
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