reviewing-rate-limiting-and-abuse-controls SKILL.md skillA

reviewing-rate-limiting-and-abuse-controls from unboundcompute/security-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add unboundcompute/security-agent-skills/reviewing-rate-limiting-and-abuse-controls@git:20260821.57dfaf1

Pins git:20260821.57dfaf1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
unboundcompute/security-agent-skills
Path
skills/reviewing-rate-limiting-and-abuse-controls/SKILL.md
Versions recorded
1
Latest version
git:20260821.57dfaf1, committed Aug 21, 2026
Size
9,696 bytes
Repository stars
26
License
MIT

Review whether sensitive and expensive endpoints are rate-limited and whether the limit can be bypassed, as a coverage-and-keying problem rather than a taint flow. Covers a login, credential-reset, one-time-code verify, signup, token, payment, or expensive-query endpoint with no limit on any layer of its path, a limit keyed on a client-supplied identifier the caller can rotate, a counter held per process so it multiplies across instances, a throttle with no lockout or backoff that permits slow…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Reviewing rate limiting and abuse controls: coverage, keying, and the layer you cannot see

Rate limiting is not a taint flow; it is a coverage-and-keying question. For each endpoint where
repetition is the attack, guessing a password, brute-forcing a one-time code, enumerating accounts,
draining a costly query, three things have to hold: a limit exists somewhere on the path, it is keyed
on something the caller cannot rotate, and it counts globally rather than per process. The failures are
an endpoint with no limit at all, a limit keyed on a header or field the attacker changes per request
to get a fresh bucket, a counter in local memory that multiplies by the number of instances, and a
throttle that resets cleanly forever with no lockout. The discipline that makes this review honest is
checking every layer, because the enforcement often lives at a gateway the handler never mentions.

## When to use

- An endpoint's abuse is repetition: login, credential reset, one-time-code verify, signup, token issuance, payment, invite or message send.
- An endpoint is expensive per call: an unbounded search, a report or export, a costly query the caller shapes.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add unboundcompute/security-agent-skills/reviewing-rate-limiting-and-abuse-controls@sha256:8b680793c29cc5e8

The line at the top of this page pins the label git:20260821.57dfaf1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_3odhfuggwv7bqq3q.svg)](https://markdownregistry.com/a/art_3odhfuggwv7bqq3q)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Aug 21, 2026.

versioncommittedcommitsizeaudit
git:20260821.57dfaf1 latest2026-08-21 57dfaf1 9,696 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (9696 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

unboundcompute/security-agent-skills · 26 stars · license MIT · pushed 2026-09-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_3odhfuggwv7bqq3q
GET https://markdownregistry.com/api/v1/resolve?ref=unboundcompute/security-agent-skills/reviewing-rate-limiting-and-abuse-controls
GET https://markdownregistry.com/api/v1/blob/8b680793c29cc5e86127c77582ae001ad032541c10258b213acea4995724134c

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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