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 adriannoes/awesome-agentic-ai --skill hunt-race-conditiongit clone --depth 1 https://github.com/adriannoes/awesome-agentic-aiWrote 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/adriannoes/awesome-agentic-ai/hunt-race-condition)<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/hunt-race-condition"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/hunt-race-condition/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/hunt-race-condition"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/hunt-race-condition.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 178 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Data Exfiltration · line 115 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00031 | $0.03141 |
| Opus 5 | $0.00015 | $0.01571 |
| Sonnet 5 | $0.00006 | $0.00628 |
| Haiku 4.5 | $0.00003 | $0.00314 |
Grade A, and why
hunt-race-condition 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- `curl` with `&` backgrounding How it starts
The opening of the file, as written. The whole thing — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Crown Jewel Targets
Race conditions are high-severity findings because they break financial, access control, and integrity assumptions that defenders rarely stress-test. Highest payouts come from:
- Monetary/credit systems — double-spending gift cards, coupons, referral bonuses, promotional credits, wallet balances
- Vote/reputation manipulation — upvoting the same content multiple times, gaming leaderboards or trending algorithms
- Account limits bypass — exceeding free-tier quotas, bypassing "one per user" restrictions on invites, trial activations, or API key generation
- Privilege escalation — racing role assignment or permission checks during user creation/upgrade flows
- Deletion bypass — reading or exfiltrating data during a narrow window between "marked for deletion" and "actually deleted"
- Payment flows — charging a card once but receiving multiple fulfillments
Best-paying asset types: Fintech apps, SaaS platforms with credit/subscription models, social platforms with reputation systems, e-commerce checkout flows, OAuth/SSO token endpoints.
Attack Surface Signals
URL Patterns
/vote, /upvote, /like, /favorite
/redeem, /apply-coupon, /use-code, /claim
/purchase, /checkout, /confirm-order, /pay
/transfer, /withdraw, /send-money
/invite, /referral, /accept-invite
/upgrade, /activate, /trial
/delete, /deactivate, /cancel
/follow, /subscribe
Response Headers That Signal Race-Prone Backends
X-RateLimit-* # rate limiting exists, but may not be atomic
X-Request-Id # each request independently tracked
No Cache-Control # stateful ops not idempotent
JavaScript Patterns to Grep
// Single-use action buttons with client-side disable
button.disabled = true
$('#btn').prop('disabled', true)
// Optimistic UI updates (state set before server confirms)
setState({ used: true })
// Sequential async calls without locking
await useVoucher(); await deductBalance();
Tech Stack Signals
- Ruby on Rails without
with_lock/lock!— ActiveRecord doesn't lock by default - Node.js with async/await chains — non-atomic DB reads then writes
- PHP without
SELECT ... FOR UPDATE— common in legacy codebases - Microservices — inter-service calls introduce natural TOCTOU windows
- Redis counters without Lua scripts or
INCRatomicity checks - Message queues — idempotency keys often missing
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 · 254 lines · 31 tokens per session scan A 04979160cb49
hunt-race-condition is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (57 stars, last pushed 14d ago), licensed MIT. It adds 31 tokens to every session and 3,141 once invoked, about $0.0002 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 2026-09-03.
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running-julia-test
Before running tests for a new package, make sure the test environment is already set up. If the package does not have tests yet, follow creating-julia-test-env first. Tests that use using Test must have Test available from the package or test project.
agent-debug-fixer
A Chinese-language debugging and repair workflow for software problems. It investigates errors, failed tests, broken pages, or behavior that does not match expectations, then makes a minimal fix.
design-qa-checklist
Build a QA checklist for verifying that a build matches the design. Use at implementation review. For the spec engineers build from, use handoff-spec.
testing
Use this skill when writing, reviewing, or improving tests in WrongStack. Triggers: user says "test", "unit test", "integration test", "e2e", "mock", "vitest", "coverage", "assert", "expect", "test strategy", "write tests".
reviewing-changes
Use when a review package asks you to review a plan step's change set (todo.startReview): you are the REVIEWER, not the author. How to judge an agent-written diff, file findings with addreviewcomment, and settle with exactly one reviewverdict.