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/pentesterflow/agent/racenpx skills add PentesterFlow/agent --skill racegit clone --depth 1 https://github.com/PentesterFlow/agentWhat 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 | $0.00082 | $0.01044 |
| Opus 5 | $0.00041 | $0.00522 |
| Sonnet 5 | $0.00016 | $0.00209 |
| Haiku 4.5 | $0.00008 | $0.00104 |
Grade A, and why
race scanned grade A with 1 finding 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 2d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
seq 50 | xargs -P 50 -I{} curl -s -X POST https://target/redeem \ How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Race / TOCTOU playbook
Confirm the target is in scope for stress-style testing (multiple parallel requests can look like abuse). Then identify the candidate operation.
Execution rule: capture a real request for the operation and replay that request with concrete cookies/body values. Never write literal placeholders such as <sess> to files; ask once if a session or replayable request is missing.
Targets worth racing
- Redeem a gift card / promo code (does the second redeem succeed?)
- Cast a vote / claim a one-per-user reward
- Withdraw / transfer balance (does it deduct twice?)
- Submit a 2FA code (can N parallel guesses each be checked against an unused-attempts counter?)
- Apply a discount that's supposed to be once-per-cart
- Send a friend / invite request (creates duplicate rows / privileges)
- Confirm an email (mark verified twice with different addresses)
- Upload then read a file (write
safe.png, then race a swap toevil.svgbefore AV scans)
1. Burp-style "single packet attack" (last-byte sync) — preferred
Modern servers buffer HTTP/2 frames. The classic trick: send N requests where each is fully serialized except the last byte. Then in a single TCP write, flush the final byte of all N. The server receives them effectively simultaneously and dispatches them in parallel — bypassing nearly all software-side rate limiting.
You can do this with a small Go/Python script. Skeleton (Python, HTTP/2):
import asyncio, ssl
import httpx
async def main():
transport = httpx.AsyncHTTPTransport(http2=True)
async with httpx.AsyncClient(transport=transport, verify=False) as c:
# Build N partial requests, then race the last byte.
# In practice: use turbo-intruder or a Go h2 client for byte-level control.
...
asyncio.run(main())
For the highest-fidelity version, use Burp Suite's Turbo Intruder (race-single-packet-attack.py template) — it's the de facto tool. The shell tool can run it if installed.
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.
- 2d ago First seen · 96 lines · 82 tokens per session scan A 2bd287d25f17
race is a skill published in the GitHub repository PentesterFlow/agent (1,316 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 82 tokens to every session and 1,044 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
osint
Drive extroosint with the right kind, feeds, pivots, and keys.
cwe
Exhaustively test a target against every applicable CWE.
penetration-testing
Run a scoped pentest with NmapIt, Burp, Metasploit, and a written report.
pwn-ai-agent-curriculum
Drive PWN::AI::Agent::Curriculum from pwneval.
pwn-ai-agent-loop
Drive PWN::AI::Agent::Loop from pwneval.
pwn-ai-agent-reward
Drive PWN::AI::Agent::Reward from pwneval.