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-broken-object-level-authorizationgit 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-broken-object-level-authorization)<a href="https://agentmods.dev/skills/unboundcompute/security-agent-skills/hunting-broken-object-level-authorization"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/hunting-broken-object-level-authorization/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-broken-object-level-authorization"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/hunting-broken-object-level-authorization.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 | $0.00157 | $0.01970 |
| Opus 5.5 | $0.00063 | $0.00788 |
| Sonnet 5.5 | $0.00031 | $0.00394 |
| Haiku 4.5 | $0.00016 | $0.00197 |
Grade A, and why
hunting-broken-object-level-authorization 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hunting broken object-level authorization: follow the id to the access
The most common serious API bug is also the simplest: a handler takes an object reference from the client, fetches or mutates that object, and never checks that the caller is allowed to touch this object. Authentication passes, the route filter passes, the query runs, and user A reads user B's record by changing one id. The bug is not in the routes that are protected; it is in every access that trusts a client-supplied reference without binding it to the caller. You find it by following the reference from the request to the data access and asking, at the access, what proves this is the caller's object.
When to use
- You are reviewing an API or handler that fetches or changes a record by an id, key, slug, filename, or reference the client supplies.
- References travel in the path, query, body, a nested field, a batch item, or a token.
- Access control depends on the object belonging to the caller, not just on the caller being logged in.
Scope check
Test object access only in systems you own or are authorized to test, with test accounts across at least two users and, where relevant, two tenants. If you can't name the authorization, stop.
The loop
-
Enumerate every client-supplied object reference. Inventory each endpoint that accepts an object identifier and where it arrives: path segment, query parameter, body field, an id nested inside a JSON object or array, a batch of ids, a value carried in a token or cookie, or a filename. Each reference that selects an object is a source. Do not stop at the obvious path id; references hide in nested and batch payloads.
-
Follow each reference to the data access. Trace the reference from where it enters to where it selects the object: the query filter, the key lookup, the file open, the mutation. That access is the sink. The question the whole audit turns on is asked here, so find the exact access each reference reaches.
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 · 144 lines · 157 tokens per session scan A 2730c13ba964
hunting-broken-object-level-authorization is a skill published in the GitHub repository UnboundCompute/security-agent-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 157 tokens to every session and 1,970 once invoked, about $0.0006 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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