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-datamask-rungit 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-datamask-run)<a href="https://agentmods.dev/skills/forcedotcom/sf-skills/platform-datamask-run"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/platform-datamask-run/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-datamask-run"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/platform-datamask-run.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- 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 | $0.00158 | $0.05647 |
| Opus 5 | $0.00079 | $0.02823 |
| Sonnet 5 | $0.00032 | $0.01129 |
| Haiku 4.5 | $0.00016 | $0.00565 |
Grade A, and why
platform-datamask-run 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 8d 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 — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.
platform-datamask-run: Salesforce Data Mask End-to-End Operation
Use this skill to operate the Salesforce Data Mask feature on a sandbox: configure a masking policy over PII fields, start a masking job, poll it to a terminal state, report which records were masked, and abort a run that is still in progress.
Data Mask is sandbox-only — the run/abort REST endpoints return 403 on production (a runtime
sandbox guard). Confirm the target org is a sandbox before starting.
When This Skill Owns the Task
- Running a Data Mask job against a configured policy
- Polling masking-job status to completion
- Reporting masked-record counts / per-object results
- Aborting (canceling) an in-progress masking run
- Creating or identifying the policy the job runs against
Delegate elsewhere when the user is:
- hand-writing anonymization Apex →
platform-apex-generate - seeding or generating test data →
platform-data-manage - deploying unrelated metadata →
platform-metadata-deploy
The One Thing to Get Right First: the API surface map
The single biggest failure mode is assuming Data Mask entities are ordinary data-API objects. They are not, and the surface differs per entity. Memorize this table before running anything — guessing here is what turns a 3-second job into a 30-minute dead end.
| Entity | What it is | How you reach it |
|---|---|---|
DataMaskPolicy |
The masking policy shell (config) | Tooling API or Metadata API (thin shell: <label>/<description>/<runOnRefresh> only) — NOT standard SOQL/sobject describe |
DataMaskPolicyObject |
An object targeted by a policy (holds the optional row filter) | Tooling API only — query AND insert; row-subset "sample" runs set FilterEnabled+WhereCriteria here (no sampleSize on the policy) |
DataMaskPolicyField |
A field + its masking treatment | Tooling API only — query AND insert; treatment cols are MaskingCategory + MaskValue |
DataMaskPolicyJobRun |
The job (one masking run) | Standard SOQL — sf data query works |
DataMaskPolicyJobRunDtl |
Per-object job detail (child, FK DataMaskPolicyJobRunId) |
Standard SOQL |
| Start a run | — | REST run API POST /services/data/v67.0/platform/data-resilience/data-mask/policies/{policyId}/run |
| Abort a run | — | REST run API POST /services/data/v67.0/platform/data-resilience/data-mask/jobs/{jobRunId}/abort |
What ships with it
4 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.
- 8d ago First seen · 346 lines · 158 tokens per session scan A 495726a0acd2
platform-datamask-run is a skill published in the GitHub repository forcedotcom/sf-skills (987 stars, last pushed yesterday), licensed Apache-2.0. It adds 158 tokens to every session and 5,647 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 2026-09-03.
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