deception-signal-quality SKILL.md skillB

deception-signal-quality from annatchijova/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add annatchijova/skills/deception-signal-quality@git:20260825.8500180

Pins git:20260825.8500180 in mdr.lock. Pin the fingerprint instead.

Audit grade
B, 16 of 17 checks passed
Kind
SKILL.md skill
Repository
annatchijova/skills
Path
deception-signal-quality/SKILL.md
Versions recorded
1
Latest version
git:20260825.8500180, committed Aug 25, 2026
Size
8,179 bytes
Repository stars
9
License
a license file GitHub does not identify

Design deception so that a triggered decoy is a true positive by construction — a honeytoken, honeypot, or canary earns its keep only if nothing legitimate ever touches it, which turns "someone touched it" into signal with a near-zero false-positive rate, the inverse of every noisy detection you own. Use whenever deception is being built or evaluated: "let's plant a honeytoken", "set up a honeypot", "canary tokens", "decoy credentials / files / AWS keys", "tripwire…

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

# Deception Signal Quality

Most detection is a fight against base rates: the behavior you alert on is also
something legitimate users do, so every rule drags a false-positive tail and every
analyst learns to dismiss. Deception inverts the problem. A honeytoken, decoy account,
or canary file is built to have **no legitimate purpose whatsoever** — so the day
anything touches it, the base rate of benign access is (by design) zero, and the
signal is a true positive without adjudication. That inversion is the entire value, and
it is also the entire fragility: the moment a legitimate process, a backup job, a
vulnerability scanner, or a curious admin can reach the decoy, you have rebuilt a noisy
detection and lost the one property that made deception worth deploying.

Two symmetric failure modes:

- **The polluted decoy.** A honeypot the internal scanner probes nightly, a
  "fake" credential that a config-management tool reads, a canary file in a path the
  backup crawls. It fires constantly on benign access, trains dismissal, and when a real
  intruder finally trips it, the alert is in the same ignored bucket as the noise. A
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add annatchijova/skills/deception-signal-quality@sha256:ce0da9250a1c98bf

The line at the top of this page pins the label git:20260825.8500180, 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_5ynkpg7a4vu3voa7.svg)](https://markdownregistry.com/a/art_5ynkpg7a4vu3voa7)

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

Versions

The registry has recorded 1 version of this file, committed on Aug 25, 2026.

versioncommittedcommitsizeaudit
git:20260825.8500180 latest2026-08-25 8500180 8,179 BB view

Audit of the latest version

B  16 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • fail: No instruction to read or print local credentials (matched: dump; canary AWS keys in a `.env)
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8179 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 base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.

Source

GitHub

annatchijova/skills · 9 stars · license a license file GitHub does not identify · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_5ynkpg7a4vu3voa7
GET https://markdownregistry.com/api/v1/resolve?ref=annatchijova/skills/deception-signal-quality
GET https://markdownregistry.com/api/v1/blob/ce0da9250a1c98bf44dd31dddced6ecdb59e92847d61673140e0e1e26e72ebe5

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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