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 Asaiuta/reverse-workbench-skill --skill competition-dpapi-credential-chaingit clone --depth 1 https://github.com/Asaiuta/reverse-workbench-skillWrote 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/asaiuta/reverse-workbench-skill/competition-dpapi-credential-chain)<a href="https://agentmods.dev/skills/asaiuta/reverse-workbench-skill/competition-dpapi-credential-chain"><img src="https://agentmods.dev/badge/skills/asaiuta/reverse-workbench-skill/competition-dpapi-credential-chain.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 5.1 | $0.00116 | $0.00696 |
| Opus 5 | $0.00058 | $0.00348 |
| Sonnet 5 | $0.00023 | $0.00139 |
| Haiku 4.5 | $0.00012 | $0.00070 |
Grade A, and why
competition-dpapi-credential-chain 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 6d 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.
This is a copy
100% identical to competition-dpapi-credential-chain — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competition Dpapi Credential Chain
Use this skill only as a downstream specialization after $ctf-sandbox-orchestrator is already active and has established sandbox assumptions, node ownership, and evidence priorities. If that has not happened yet, return to $ctf-sandbox-orchestrator first.
Use this skill when the decisive Windows secret is DPAPI-protected and the hard part is proving which context unwraps it and where the plaintext is accepted.
Reply in Simplified Chinese unless the user explicitly requests English.
Quick Start
- Separate protected blob, masterkey, decrypting context, and final accepting service.
- Record SID, user or machine context, masterkey path, vault or browser store, and target replay point before broad conclusions.
- Keep DPAPI source artifact, unwrap step, plaintext secret, and acceptance edge in one chain.
- Distinguish local user DPAPI, machine DPAPI, domain backup key use, and application-specific wrapping.
- Reproduce the smallest DPAPI-to-accepted-access path that proves the decisive edge.
Workflow
1. Map Protected Secret And DPAPI Context
- Record blob source, masterkey location, SID, protector scope, profile path, credential store, and any application wrapper such as browser encryption or vault metadata.
- Note whether the decisive value lives in Credential Manager, Vault, browser cookies, browser passwords, Wi-Fi profiles, RDP files, or custom app storage.
- Keep protected artifact, masterkey candidate, and account or machine context tied together.
2. Prove Unwrap And Acceptance
- Show how the secret is decrypted: user logon material, machine context, domain backup key, or another recovered protector.
- Record plaintext type, target host or service, replay method, and resulting session, token, or data access.
- Distinguish successful blob decryption from actual accepted access.
3. Reduce To The Decisive DPAPI Chain
- Compress the result to the smallest sequence: protected artifact -> masterkey or unwrap context -> plaintext secret -> accepted replay or access -> resulting capability.
- State clearly whether the decisive edge lives in masterkey recovery, DPAPI scope confusion, application wrapper handling, or the service that accepts the recovered secret.
- If the task broadens into generic LSASS ticket material or full Windows pivoting, hand back to the tighter host or pivot skill.
What ships with it
2 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.
- 6d ago First seen · 51 lines · 116 tokens per session scan A 029cf3988446
competition-dpapi-credential-chain is a skill published in the GitHub repository Asaiuta/reverse-workbench-skill (2 stars, last pushed 23d ago), licensed MIT. It adds 116 tokens to every session and 696 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to competition-dpapi-credential-chain, differing in 0 lines, and is treated as a copy.
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