adjudicating-taint-paths SKILL.md skillA

adjudicating-taint-paths 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/adjudicating-taint-paths@git:20260816.faa9c07

Pins git:20260816.faa9c07 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/adjudicating-taint-paths/SKILL.md
Versions recorded
1
Latest version
git:20260816.faa9c07, committed Aug 16, 2026
Size
5,657 bytes
Repository stars
26
License
MIT

Decide whether a whitebox lead is a real bug by tracing taint from an untrusted source to a dangerous sink and confirming every hop against live source. Use after a scanner, a candidate list, or your own reading surfaces a "this looks dangerous" sink (SQL exec, system/exec, file open, deserialize, template render, redirect target, memcpy) and you must decide whether attacker- controlled input actually reaches it - or kill the lead with evidence. Covers forward and reverse taint, witness paths…

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

# Adjudicating taint paths: lead → decided finding

A lead is a *fact* about structure - "an input-shaped value can reach a
dangerous sink." It is never a verdict. Adjudication is the disciplined work of
deciding whether that structural possibility is a real, reachable bug on the
current source, and recording the decision so it isn't re-litigated next pass.

## When to use

- A scanner or candidate list flagged a sink and you must confirm or kill it.
- You spotted a sink by hand and want to know if attacker input reaches it.
- You need to *kill* a plausible-looking lead with evidence, not vibes.

## Scope check

Authorized source only (your own, OSS, CTF, in-scope engagement). If you can't
name the authorization, stop.

## The loop

1. **Name source and sink precisely.** Which exact argument of which sink is
   dangerous, and what is the *actual* untrusted entry - a request param, header,
   filename, env var, deserialized field? Vague framing ("user input reaches it
   somewhere") is how false positives survive.

2. **Trace the reverse cone into the sink.** What values can flow *into* this sink
   argument? This enumerates every origin. If none trace back to an untrusted
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add unboundcompute/security-agent-skills/adjudicating-taint-paths@sha256:8e6143228d3d408e

The line at the top of this page pins the label git:20260816.faa9c07, 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_p5gcgfdga6tbbkv6.svg)](https://markdownregistry.com/a/art_p5gcgfdga6tbbkv6)

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

Versions

The registry has recorded 1 version of this file, committed on Aug 16, 2026.

versioncommittedcommitsizeaudit
git:20260816.faa9c07 latest2026-08-16 faa9c07 5,657 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 (5657 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_p5gcgfdga6tbbkv6
GET https://markdownregistry.com/api/v1/resolve?ref=unboundcompute/security-agent-skills/adjudicating-taint-paths
GET https://markdownregistry.com/api/v1/blob/8e6143228d3d408e52af969a503548764372d7c87220aac333418623a59b0a97

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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