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 PlamenTSV/plamen --skill privacy-disclosuregit clone --depth 1 https://github.com/PlamenTSV/plamenWrote 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/plamentsv/plamen/privacy-disclosure)<a href="https://agentmods.dev/skills/plamentsv/plamen/privacy-disclosure"><img src="https://agentmods.dev/badge/skills/plamentsv/plamen/privacy-disclosure/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/plamentsv/plamen/privacy-disclosure"><img src="https://agentmods.dev/badge/skills/plamentsv/plamen/privacy-disclosure.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 | $0.00022 | $0.01443 |
| Opus 5 | $0.00011 | $0.00722 |
| Sonnet 5 | $0.00004 | $0.00289 |
| Haiku 4.5 | $0.00002 | $0.00144 |
Grade A, and why
privacy-disclosure 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PRIVACY_DISCLOSURE Skill (DAML)
Trigger Pattern: Always required for DAML audits Inject Into: Breadth agents, depth-edge-case Finding prefix:
[DML-PD-N]Rules referenced: R10, R13
DAML enforces sub-transaction privacy: a contract is visible only to its stakeholders (signatories + observers), plus parties to whom it is divulged (incidentally disclosed when they participate in a transaction that fetches it). An over-broad observer, divulgence through a shared transaction, or an interface view that exposes too much, all leak confidential state to parties who should not see it. STRICT GATE: a privacy finding is reportable ONLY with a party-scoped query@T outsider PoC steer that returns a non-empty result for a party who should see nothing. Disclosure-design prose without a query@T steer is NOT a finding — drop it.
1. Stakeholder-Set Inventory
For every template, enumerate exactly who can see each instance:
| Template | Signatories | Observers | Observer Source | Confidential Fields | Over-Broad? |
|---|---|---|---|---|---|
{T} |
{parties} |
{parties} |
fixed / arg.X / list field |
{amount, counterparty, terms} |
[DML-PD-N] if observer sees secrets |
Critical patterns to flag:
- An
observerset derived from a choice argument or a caller-supplied list → a party can add themselves as an observer of a contract carrying confidential terms ([ELEVATE:OBSERVER_BROAD]). - An observer added "for convenience" (e.g., a market operator) who thereby sees per-party amounts/positions that should remain bilateral.
DAML note: controller p auto-adds p as an observer for the duration the choice is exercisable. A nonconsuming choice with a broad controller persistently discloses the contract to all those parties.
2. Divulgence-via-Fetch
Divulgence is incidental: when party X participates in a transaction that fetches contract C, X learns C's contents even if X is not a stakeholder of C.
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 · 89 lines · 22 tokens per session scan A 73526557b3ec
privacy-disclosure is a skill published in the GitHub repository PlamenTSV/plamen (294 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 1,443 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 2026-08-30.
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