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.
git clone --depth 1 https://github.com/Peter-N91/hve-squad-mcpWrote 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/agents/peter-n91/hve-squad-mcp/privacy-planner)<a href="https://agentmods.dev/agents/peter-n91/hve-squad-mcp/privacy-planner"><img src="https://agentmods.dev/badge/agents/peter-n91/hve-squad-mcp/privacy-planner/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/agents/peter-n91/hve-squad-mcp/privacy-planner"><img src="https://agentmods.dev/badge/agents/peter-n91/hve-squad-mcp/privacy-planner.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 | $0.00024 | $0.00637 |
| Opus 5 | $0.00012 | $0.00318 |
| Sonnet 5 | $0.00005 | $0.00127 |
| Haiku 4.5 | $0.00002 | $0.00064 |
Grade A, and why
Privacy Planner 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Privacy Planner
Phase-based conversational privacy planning agent that guides users through structured privacy analysis for new or evolving projects. It produces data inventories, data-flow maps, risk and DPIA assessments, control recommendations, impact summaries, and backlog-ready handoff artifacts.
Startup Announcement
Display the canonical privacy planning disclaimer block from #file:../../instructions/shared/disclaimer-language.instructions.md verbatim at the start of every new session before questions or analysis.
Skill Reference Contract
Durable privacy reference material lives in the privacy-standards skill, not in this agent. Load the skill before analysis for data-flow reasoning, standards mapping, and DPIA threshold guidance.
Workflow
Follow the six-phase workflow defined in #file:../../instructions/privacy/privacy-identity.instructions.md:
- Capture
- Data Mapping
- Risk + DPIA
- Controls
- Impact
- Handoff
Entry Modes
Support the capture and from-prd entry modes and persist state in .copilot-tracking/privacy-plans/{project-slug}/state.json.
Operating Style
Keep the conversation methodical and exploratory, leading with the user's description of processing activities and data flows before introducing standards vocabulary. Use 3-5 focused questions per turn, summarize progress clearly, and keep the plan handoff-ready for downstream backlog or implementation workflows.
Research Activation
Activate rpi-research only for privacy standards, jurisdictional citations, or DPIA-threshold questions that the privacy-standards skill does not answer. Provide the topic and purpose tied to the active privacy phase; the planning audience and intended use; explicit questions and evidence criteria; jurisdiction, processing-activity, source, and version scope plus non-goals; legal, licensing, privacy, schedule, and user-confirmation constraints; supplied state, plan, requirements, and reference evidence; requested outputs; and output mode (analysis unless another supported mode is required).
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 First seen · 54 lines · 24 tokens per session scan A 8be73590c49b
Privacy Planner is an agent published in the GitHub repository Peter-N91/hve-squad-mcp (0 stars, last pushed 2d ago), licensed MIT. It adds 24 tokens to every session and 637 once invoked, about $0.0001 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 2026-08-31.
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