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 UnboundCompute/security-agent-skills --skill hunting-server-side-prototype-pollutiongit clone --depth 1 https://github.com/UnboundCompute/security-agent-skillsWrote 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/unboundcompute/security-agent-skills/hunting-server-side-prototype-pollution)<a href="https://agentmods.dev/skills/unboundcompute/security-agent-skills/hunting-server-side-prototype-pollution"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/hunting-server-side-prototype-pollution/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/unboundcompute/security-agent-skills/hunting-server-side-prototype-pollution"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/hunting-server-side-prototype-pollution.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00171 | $0.02059 |
| Opus 5.5 | $0.00068 | $0.00824 |
| Sonnet 5.5 | $0.00034 | $0.00412 |
| Haiku 4.5 | $0.00017 | $0.00206 |
Grade A, and why
hunting-server-side-prototype-pollution 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 1mo 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hunting server-side prototype pollution: when one request changes every object
In JavaScript, every plain object inherits from Object.prototype, so writing to that shared prototype
changes the default value of a property on every object in the process. Server-side prototype pollution
happens when untrusted input carries a __proto__, constructor, or prototype key into a recursive
merge, a deep clone, or a path-based set that follows the key down to the prototype. The write by itself
is a primitive; the impact comes later, when some other code reads a property that was never set and now
returns the attacker's injected default. That gadget read can flip an authorization flag, inject an
argument into a spawned command, or change a template or query. You find it by locating the pollution
primitives and then the gadget reads they enable.
When to use
- A Node.js or server-side TypeScript service merges, clones, or path-assigns untrusted structured input.
- A parser or utility recurses into keys from a request body, query string, or JSON document.
- Later code reads object properties that may be unset, where an injected default would change behavior.
Scope check
Test prototype pollution only against services you own or are authorized to assess, on non-production infrastructure. Pollution is process-wide and can affect concurrent requests, so treat every confirming write as a change to shared state within the authorized scope, and prefer an isolated instance. If you can't name the authorization, stop.
The loop
- Establish the pollution primitives first. Inventory every operation that could write an
attacker-controlled key down to the prototype: recursive or deep merges, deep clones, path-based setters
that split a dotted or bracketed path, and body or query parsers that build nested objects. This is the
false-positive killer: without a primitive that reaches
__proto__orconstructor.prototype, an isolated gadget read is not exploitable. Name the primitives first.
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.
- 1mo ago First seen · 137 lines · 171 tokens per session scan A 34001dd188bb
hunting-server-side-prototype-pollution is a skill published in the GitHub repository UnboundCompute/security-agent-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 171 tokens to every session and 2,059 once invoked, about $0.0007 per session on Opus 5.5. 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 2026-09-05.
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