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 pingidentity/agent-plugins --skill pingone-platform-opsgit clone --depth 1 https://github.com/pingidentity/agent-pluginsWrote 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/pingidentity/agent-plugins/pingone-platform-ops)<a href="https://agentmods.dev/skills/pingidentity/agent-plugins/pingone-platform-ops"><img src="https://agentmods.dev/badge/skills/pingidentity/agent-plugins/pingone-platform-ops/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/pingidentity/agent-plugins/pingone-platform-ops"><img src="https://agentmods.dev/badge/skills/pingidentity/agent-plugins/pingone-platform-ops.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 | $0.00061 | $0.00747 |
| Opus 5.5 | $0.00024 | $0.00299 |
| Sonnet 5.5 | $0.00012 | $0.00149 |
| Haiku 4.5 | $0.00006 | $0.00075 |
Grade A, and why
pingone-platform-ops 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 28d 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PingOne Platform Operations
Route PingOne audit and operational investigations to the smallest sufficient reference. Preserve evidence, scope every query to one environment, and avoid persisting audit output or PII.
When to use this skill
- Investigate failed logins, authentication history, admin actions, compliance events, or event history.
- Trace a PingOne correlation ID or inspect application, user, population, password, or MFA/device events.
- Explain who changed what, when an event occurred, or why an audit query returned no results.
- Retrieve paginated audit activity and render a complete event table and pattern summary.
- Check the environment Bill of Materials (BOM) for DaVinci availability.
When NOT to use this skill
- DaVinci node-level execution tracing.
- User, application, directory, or tenant configuration.
- Flow design or universal-service policy changes.
- App or SDK integration.
Multi-skill use cases
Audit findings often identify an operational symptom while the remediation belongs to another discipline:
- Investigate audit events here and preserve correlation IDs as evidence.
- If a finding points at a DaVinci flow execution, hand the node-level trace to the flow-execution troubleshooting workflow available in the session.
- If a finding points at configuration or policy, hand the fix to the platform-configuration or universal-service workflow that owns it.
Complete the audit investigation here, then hand off to whichever workflow owns the remediation.
Routing — Step 1: Investigation need
| Need | Load first |
|---|---|
| Reference selection and retrieval stopping | references/troubleshooting.md |
| Environment, actor, identifier, time-window, or typed-filter preparation | references/playbooks/audit-investigation.md |
| Audit calls, pagination, full event details, or DaVinci entitlement check | references/playbooks/audit-execution.md |
| Common failed-login, admin, resource, population, password, MFA, or client scenarios | references/playbooks/audit-scenarios.md |
| Result tables, summaries, structured status, and completeness checks | references/catalogs/audit-output.md |
| Errors, PII, execution-mode fallback, and cross-skill boundaries | references/catalogs/audit-guardrails.md |
| Ping CLI audit and BOM operations | references/cli.md |
| Synthetic routing and behavior examples | references/examples/sample-prompts.md |
What ships with it
8 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.
- references/catalogs/audit-guardrails.md 4.5 KB
- references/catalogs/audit-output.md 5.1 KB
- references/cli.md 1.8 KB
- references/examples/sample-prompts.md 11 KB
- references/playbooks/audit-execution.md 4.3 KB
- references/playbooks/audit-investigation.md 4.1 KB
- references/playbooks/audit-scenarios.md 3.8 KB
- references/troubleshooting.md 2.3 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.
- 28d ago First seen · 62 lines · 61 tokens per session scan A 56d3d6964fc3
pingone-platform-ops is a skill published in the GitHub repository pingidentity/agent-plugins (3 stars, last pushed 4d ago), licensed MIT. It adds 61 tokens to every session and 747 once invoked, about $0.0002 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 2026-09-19.
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