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 transilienceai/communitytools --skill authenticated-session-acquisitiongit clone --depth 1 https://github.com/transilienceai/communitytoolsWrote 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/transilienceai/communitytools/authenticated-session-acquisition)<a href="https://agentmods.dev/skills/transilienceai/communitytools/authenticated-session-acquisition"><img src="https://agentmods.dev/badge/skills/transilienceai/communitytools/authenticated-session-acquisition.svg" alt="Measured on agentmods" 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 | $0.00114 | $0.01332 |
| Opus 5 | $0.00057 | $0.00666 |
| Sonnet 5 | $0.00023 | $0.00266 |
| Haiku 4.5 | $0.00011 | $0.00133 |
Grade A, and why
authenticated-session-acquisition 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 8d 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Authenticated Session Acquisition
On financial and multi-tenant targets the login is gated by SMS OTP / TOTP MFA that an autonomous run cannot satisfy, so the post-auth surface (BOLA/IDOR/mass-assignment/injection on the real data APIs, session handling, API pivots) silently collapses to pre-auth findings only. This skill's job is narrow and concrete: get one legitimate authenticated session and hand it to the executors as a reusable artifact. It does not attack the auth mechanism — see authentication for that.
The artifact contract (how the session reaches executors)
Emit both, into the engagement's OUTPUT_DIR, referenced BY NAME (never inline secrets — credential-loading.md):
OUTPUT_DIR/<asset>/session/storageState.json— the Playwright storage state (cookies + localStorage) for browser-driven post-auth testing.OUTPUT_DIR/<asset>/session/bearer.txt— the raw access/ID token (+ itsexpires_at) for direct API replay.
Executors consume these exactly like any env-loaded secret: the scope file's creds_env names the realm, and the session path is passed as a file reference, so no token is ever written into a prompt, experiments.md, or attack-chain.md. Re-run this skill when the token expires (record expires_at; refresh rather than re-login where a refresh token exists).
Modes (pick by what the client can provide)
| Mode | When | How |
|---|---|---|
| TOTP-from-seed | The client shared the TOTP secret (Base32 seed) for a test account | Generate the current code deterministically with tools/totp_now.py <BASE32_SEED>, submit it in the login flow. Fully autonomous, repeatable. |
| Explicit-OTP | The operator can read a one-time code (SMS/email/authenticator) at run time | Drive login to the OTP prompt, the operator supplies the code once, continue. |
| Human-in-the-loop resume | OTP arrives out-of-band and the run must pause | Persist the pre-OTP browser context, pause; the operator completes the challenge; resume and capture storageState. |
What ships with it
1 file 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.
- 8d ago First seen · 60 lines · 114 tokens per session scan A 54f133d5d576
authenticated-session-acquisition is a skill published in the GitHub repository transilienceai/communitytools (511 stars, last pushed 1mo ago), licensed MIT. It adds 114 tokens to every session and 1,332 once invoked, about $0.0006 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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