secagent-reasoning

secagent-reasoning is a skill for Claude Code, Codex from JesusConwellpy/secagent-skills. It costs 32 tokens per session (1,231 once invoked), scanned A, original, MIT.

A security reasoning guide that extracts clues from scan results or reports, connects related evidence, detects unusual patterns, and forms testable explanations.

In plain words
What is it for?
Use it to analyse indicators such as IP addresses, domains, CVEs, ports, vulnerabilities, attack techniques, tools, and possible attack chains.
Why use it?
It provides a repeatable way to investigate security findings instead of treating each clue in isolation.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to analyse indicators such as IP addresses, domains, CVEs, ports, vulnerabilities, attack techniques, tools, and possible attack chains.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jesusconwellpy/secagent-skills/secagent-reasoning
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.

Any agent
npx skills add JesusConwellpy/secagent-skills --skill secagent-reasoning
Clone the repo
git clone --depth 1 https://github.com/JesusConwellpy/secagent-skills

Made for: Claude Code, Codex.

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 secagent-reasoning

README.md
[![agentmods](https://agentmods.dev/badge/skills/jesusconwellpy/secagent-skills/secagent-reasoning/github.svg)](https://agentmods.dev/skills/jesusconwellpy/secagent-skills/secagent-reasoning)
Your own site
<a href="https://agentmods.dev/skills/jesusconwellpy/secagent-skills/secagent-reasoning"><img src="https://agentmods.dev/badge/skills/jesusconwellpy/secagent-skills/secagent-reasoning/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.

agentmods 80×15 button for secagent-reasoning

Your own site · 80×15
<a href="https://agentmods.dev/skills/jesusconwellpy/secagent-skills/secagent-reasoning"><img src="https://agentmods.dev/badge/skills/jesusconwellpy/secagent-skills/secagent-reasoning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,231 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00032 $0.01231
Opus 5 $0.00016 $0.00616
Sonnet 5 $0.00006 $0.00246
Haiku 4.5 $0.00003 $0.00123

Measured 8d ago against content hash 5feabea6df41, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

secagent-reasoning 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 8d 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.

secagent-reasoning/SKILL.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SecAgent Reasoning — Detective Engine

Loading this SKILL gives you structured security reasoning.

Reasoning Workflow

Input: tool output / agent report / scan result

Step 1: CLUE EXTRACTION → extract all clues from raw output
Step 2: CROSS-CORRELATION → find relationships between clues
Step 3: ANOMALY DETECTION → run applicable detectors
Step 4: HYPOTHESIS FORMATION → one testable hypothesis per anomaly
Step 5: EVIDENCE CHAIN VALIDATION → completeness, consistency, reliability

Output: structured reasoning report

Step 1: Clue Extraction

From any text, extract:

Regex patterns:
  IP:        \b(?:\d{1,3}\.){3}\d{1,3}\b
  Domain:    \b[a-zA-Z0-9-]+(?:\.[a-zA-Z]{2,})+\b
  CVE:       CVE-\d{4}-\d{4,}
  Port:      port: (\d{2,5})
  Version:   (\d+\.\d+(?:\.\d+)?)
  Email:     \b[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}\b
  URL:       https?://[^\s]+

Semantic patterns:
  Vuln type:   SQLi / XSS / RCE / BoF / LFI / SSRF / CSRF / PrivEsc
  Technique:   ROP / ret2libc / heap spray / format string
  Tool:        nmap / burp / metasploit / sqlmap / gdb

Output format:
  CLUE-{id}: {type}={value} | source={tool/agent} | confidence={0.0-1.0}

Step 2: Cross-Correlation

Relation types:

1. Spatial: same host/IP
   CLUE-001(192.168.1.1:80) + CLUE-002(192.168.1.1:443) → same host

2. Causal: A enables B
   Port open → Service running → Version fingerprinted → CVE matched

3. Temporal: same timeframe events

4. Type: same vulnerability class across different instances

Output format:
  REL-{id}: {clue_a} --[{relation}]--> {clue_b}

Step 3: Anomaly Detection (12 detectors)

PortAnomaly:         Non-standard ports
ServiceAnomaly:      Outdated/vulnerable service versions
CVEAnomaly:          Version matches known CVE
CredentialAnomaly:   Default/weak credentials
ConfigAnomaly:       Insecure configuration
PatchAnomaly:        Known vulnerability unpatched
ChainAnomaly:        Clues form attack chain (CRITICAL)
TrafficAnomaly:      Unusual network patterns
FileAnomaly:         Unusual filesystem activity
ProcessAnomaly:      Unusual process behavior
LogAnomaly:          Suspicious audit log entries
BehaviorAnomaly:     Deviation from baseline

Output format:
  ANOM-{id}: [{detector}] {description} | SEVERITY: {level}

Read the full file on GitHub · 162 lines

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. 8d ago First seen · 162 lines · 32 tokens per session scan A 5feabea6df41

Subscribe to this mod's changes

secagent-reasoning is a skill published in the GitHub repository JesusConwellpy/secagent-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 32 tokens to every session and 1,231 once invoked, about $0.0002 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 2026-08-31.

Related

Other skills, from other repositories

osint-recon

A knowledge guide for open-source intelligence, or OSINT: collecting information from publicly available sources. It covers servers, websites, domains, and, when appropriate, people.

Netw0rkNoob/VulnClaw · 42 tokens

secknowledge-skill

A knowledge base for testing the security of websites, software, and AI systems, including agents and language models.

Netw0rkNoob/VulnClaw · 321 tokens

client-reverse

A workflow for analysing and replaying requests made by mobile apps, browser JavaScript, or desktop clients during authorised security testing.

Netw0rkNoob/VulnClaw · 56 tokens

redteam-sqli-detail-pack

Domain routing and boundary guidance for authorized SQL injection testing, including union-based, blind, error-based, stacked query, and second-order SQL injection variants. Use when a task belongs to the SQL injection domain and needs scope, evidence, pivot, or exit criteria.

Netw0rkNoob/VulnClaw · 59 tokens

performing-ai-assisted-vulnerability-discovery

Using LLMs to accelerate vulnerability research and pentest workflows — generating syntax-valid fuzzing seeds and evolving grammars, fine-tuned mutation dictionaries, parallel agent-based proof-of-vulnerability generation, and evidence-driven passive analysis of real HTTP traffic via the Burp MCP server. Covers…

xalgorix/xalgorix · 91 tokens

rapid-checklist

A Chinese-language quick reference for penetration testing payload families, bypass ideas, and testing order. Penetration testing is authorized security testing that looks for exploitable weaknesses.

Netw0rkNoob/VulnClaw · 42 tokens