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 liuxinye23/CyberStrikeAI --skill web-auth-bundlegit clone --depth 1 https://github.com/liuxinye23/CyberStrikeAIWrote 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/liuxinye23/cyberstrikeai/web-auth-bundle)<a href="https://agentmods.dev/skills/liuxinye23/cyberstrikeai/web-auth-bundle"><img src="https://agentmods.dev/badge/skills/liuxinye23/cyberstrikeai/web-auth-bundle.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 | $0.00053 | $0.00483 |
| Opus 5 | $0.00026 | $0.00242 |
| Sonnet 5 | $0.00011 | $0.00097 |
| Haiku 4.5 | $0.00005 | $0.00048 |
Grade A, and why
web-auth-bundle 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 7d 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.
What it actually says
Web Auth Bundle
Use this bundle to coordinate the listed member skills for an auth-heavy assessment.
Workflow
- Map the authentication surface first: login, logout, refresh, password reset, MFA, admin switches, and any browser/API token crossover.
- Load only the member skills that match the concrete issue instead of pulling every auth-related skill blindly.
- Prioritize evidence that distinguishes browser session state, API bearer state, and backend authorization state.
Load Order
- Start with
auth-session-reviewfor login, logout, cookie, and CSRF boundaries. - Load
token-lifecycle-reviewwhen refresh, expiry, rotation, revocation, or replay behavior matters. - Load
secret-exposure-reviewwhen tokens, keys, or env leaks appear in responses, docs, or frontend assets. - Load
security-headers-reviewwhen browser trust boundaries and cookie/header hardening matter. - Load
openapi-contract-reviewwhen the API contract may be understating auth or schema constraints.
Output
- Auth surface inventory
- Member skills actually loaded
- Key evidence by state transition
- Reproducible findings and fixes
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.
- 7d ago First seen · 69 lines · 53 tokens per session scan A 6ef0b778d540
web-auth-bundle is a skill published in the GitHub repository liuxinye23/CyberStrikeAI (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 53 tokens to every session and 483 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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