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 agentmods add skills/vthinkdeveloper/vthink-agent-toolkit/anonymize-promptnpx skills add vthinkdeveloper/vthink-agent-toolkit --skill anonymize-promptgit clone --depth 1 https://github.com/vthinkdeveloper/vthink-agent-toolkitWrote 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/vthinkdeveloper/vthink-agent-toolkit/anonymize-prompt)<a href="https://agentmods.dev/skills/vthinkdeveloper/vthink-agent-toolkit/anonymize-prompt"><img src="https://agentmods.dev/badge/skills/vthinkdeveloper/vthink-agent-toolkit/anonymize-prompt.svg" alt="Measured on agentmods" 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 | $0.00058 | $0.01019 |
| Opus 5 | $0.00029 | $0.00509 |
| Sonnet 5 | $0.00012 | $0.00204 |
| Haiku 4.5 | $0.00006 | $0.00102 |
Grade A, and why
anonymize-prompt 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 3d 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anonymize Prompt
Generate a privacy-safe, anonymized prompt that the user can paste into external search engines and AI chatbots to get help — without exposing ANY proprietary details.
Inputs
- Conversation context — the current conversation where the problem is being discussed
- User's argument (optional) — a plain-text description of the problem passed as the skill argument
Workflow
Step 1: Understand the Problem
From the conversation context and user's argument, identify:
- What is the core technical problem?
- What technologies/frameworks are involved? (these are public knowledge — keep them)
- What error messages or symptoms are observed?
- What has been tried so far?
Step 2: Anonymize Everything Proprietary
Apply ALL of the following replacements systematically:
| Category | Example Before | Example After |
|---|---|---|
| Company/product names | AcmeCorp, my-service | "our application", "the project" |
| Class names | OrderManager, PaymentTracker |
DataManager, ProcessTracker |
| Variable/method names | buildOrderInstance() |
buildDataStructure() |
| Package paths | com.acme.app.apiImpl |
com.example.app.impl |
| Internal URLs | localhost:8080/internal/api/v0 |
localhost:8080/app/api/v1 |
| Database/table names | acme_metadata, order_definitions |
app_metadata, entity_definitions |
| Internal jargon | proprietary domain terms | describe functionally in plain language |
| File paths | /src/main/java/com/acme/... |
/src/main/java/com/example/... |
| Config keys | acme.security.* |
app.security.* |
| Ticket IDs | PROJ-1931 | remove entirely |
| Branch names | PROJ-1931-add-offline-access | remove entirely |
| Colleague names | any person names | remove entirely |
| Docker/service names | my-api, acme-web | "the api service", "the web service" |
Step 3: Preserve Technical Accuracy
Keep ALL of the following (they are public knowledge):
- Framework names: Spring, Spring Security, Hibernate, React, Redux, Webpack, Maven, etc.
- Library versions: Spring 5.x, Java 14, PostgreSQL 12, etc.
- Standard patterns: OAuth2/OIDC, REST, JDBC, ACL, etc.
- Error messages (but scrub any proprietary class/package names within them)
- Stack trace structure (but anonymize class names)
- Configuration property formats (but anonymize the property names)
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.
- 3d ago First seen · 102 lines · 58 tokens per session scan A 6a7c3ddd2283
anonymize-prompt is a skill published in the GitHub repository vthinkdeveloper/vthink-agent-toolkit (2 stars, last pushed 1mo ago), licensed MIT. It adds 58 tokens to every session and 1,019 once invoked, about $0.0003 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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