author-detection-content

author-detection-content is a skill for Claude Code, Codex from gaelic-ghost/socket. It costs 50 tokens per session (408 once invoked), scanned A, original, Apache-2.0.

A workflow for creating tested security detections from confirmed behavior. It supports formats and tools such as Sigma, osquery, YARA-X, endpoint queries, and SIEM rules.

In plain words
What is it for?
Use it to define the alert purpose, choose reliable event data, write detection logic, add response context, and test positive and negative examples.
Why use it?
It helps turn an observed threat into alerts that use available telemetry and account for benign matches, missing fields, and known blind spots.

Skill for Claude CodeCodex

Part of the cybersecurity-skills plugin — 31 skills shipped together

Install

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.

agentmods
npx agentmods add skills/gaelic-ghost/socket/author-detection-content
Any agent
npx skills add gaelic-ghost/socket --skill author-detection-content
Clone the repo
git clone --depth 1 https://github.com/gaelic-ghost/socket

Made for: Claude Code, Codex.

Or install cybersecurity-skills, the plugin that ships this one along with the rest of its 31 skills.

Wrote 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.

agentmods badge for author-detection-content

README.md
[![agentmods](https://agentmods.dev/badge/skills/gaelic-ghost/socket/author-detection-content.svg)](https://agentmods.dev/skills/gaelic-ghost/socket/author-detection-content)
Your own site
<a href="https://agentmods.dev/skills/gaelic-ghost/socket/author-detection-content"><img src="https://agentmods.dev/badge/skills/gaelic-ghost/socket/author-detection-content.svg" alt="Measured on agentmods" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 408 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00050 $0.00408
Opus 5 $0.00025 $0.00204
Sonnet 5 $0.00010 $0.00082
Haiku 4.5 $0.00005 $0.00041

Measured yesterday against content hash a9bc8ce83541, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

author-detection-content 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 yesterday.

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.

plugins/cybersecurity-skills/skills/author-detection-content/SKILL.md · 35 lines

What it actually says

Author Detection Content

Overview

Detect the validated behavior at the most reliable telemetry layer. Use author-yara-x-rules for artifact pattern rules; use this workflow for event, query, correlation, and alert content.

Read references/detection-quality.md before choosing logic or deployment severity.

Workflow

  1. Define objective and response.
    • State the behavior, threat/finding source, protected surface, expected alert consumer, urgency, and action.
  2. Identify telemetry prerequisites.
    • Record source/product/version, event types/fields, collection permissions, normalization, retention, latency, and known blind spots.
  3. Select durable features.
    • Prefer behavior and context combinations over mutable infrastructure or one noisy field.
    • Map to ATT&CK only when evidence supports it.
  4. Author content.
    • Include title/ID, description, status, author/date, references, log source, logic/query, fields, false positives, level/severity, tags, and test notes as the target format permits.
  5. Test fixtures.
    • Include validated positive events, benign negatives and near-misses, missing/renamed fields, ordering/time-window cases, duplicate events, volume/performance, and known platform variants.
  6. Tune and validate response.
    • Improve logic before adding exclusions; verify enrichment and runbook lead an analyst to decisive evidence.
  7. Deploy and maintain.
    • Record target environments, owner, version, rollout, alert volume, suppression/exception expiry, health checks, and review triggers.

Output

Return detection content, telemetry contract, evidence provenance, fixture results, false positives/limits, performance, severity/response, deployment plan, and owner/review date.

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. yesterday First seen · 35 lines · 50 tokens per session scan A a9bc8ce83541

Subscribe to this mod's changes

author-detection-content is a skill published in the GitHub repository gaelic-ghost/socket (7 stars, last pushed 9d ago), licensed Apache-2.0. It adds 50 tokens to every session and 408 once invoked, about $0.0003 per session on Opus 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 2026-09-03.

Related

Other skills, from other repositories

pipeline

Use when the user wants a feature idea taken end-to-end in one autonomous run — phrases like "run the whole pipeline", "take this feature from idea to finished branch", "brainstorm then build it autonomously", "do everything from idea to merged", "implement all phases without stopping". Triggers when they want…

kardebadas/claude-plugin · 80 tokens

craft

Use when a product idea is still vague and needs to become a clear definition of what to build — "let's craft an app like X", "help me define what I actually want", "clarify this idea before we plan it". Also use before planning or implementation when requirements, UX, domain behaviour, or technical preferences have…

kardebadas/claude-plugin · 83 tokens

scenario-planning

Plans under genuine uncertainty — building scenarios, identifying which assumptions are load-bearing, setting early-warning indicators, and stress-testing a plan against futures rather than forecasting one. Use this when a decision depends on something unknowable, when a plan assumes conditions that may not hold…

cbrock84/headcount · 78 tokens

ai-ml-governance

Governs models and AI systems in production — intended use, evaluation, monitoring, human oversight, documentation, and the decision to deploy or retire. Use this before deploying a model or AI feature, when defining evaluation criteria, when a model's behavior has drifted, when assessing AI risk or regulatory…

cbrock84/headcount · 83 tokens

ai-research-analyst

Produces executive-level research — market sizing, competitor mapping, trend analysis, and strategic intelligence — grounded in cited sources with the confidence in each claim made explicit. Use this to analyze a market or industry, map competitors, evaluate a market-entry or build-versus-buy decision, produce a…

cbrock84/headcount · 91 tokens

implement-factory

Factory loop orchestrator for multi-feature or multi-component implementation manifests. Use for high-complexity work with parallel-eligible workstreams and holdout-scenario evaluation.

rsmdt/the-startup · 37 tokens