secagent-knowledge

secagent-knowledge is a skill for Claude Code, Codex from JesusConwellpy/secagent-skills. It costs 37 tokens per session (1,382 once invoked), scanned A, original, MIT.

A local knowledge system that stores security findings and research in a structured wiki. It includes sections for entities such as IP addresses, domains, CVEs, and tools, plus discoveries and reports.

In plain words
What is it for?
It is for documenting scan results, vulnerabilities, proof-of-concept work, security concepts, research summaries, and related entities.
Why use it?
It gives security agents a shared place to record findings, search past work, and reuse knowledge across sessions.

Skill for Claude CodeCodex

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/jesusconwellpy/secagent-skills/secagent-knowledge
Any agent
npx skills add JesusConwellpy/secagent-skills --skill secagent-knowledge
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-knowledge

README.md
[![agentmods](https://agentmods.dev/badge/skills/jesusconwellpy/secagent-skills/secagent-knowledge.svg)](https://agentmods.dev/skills/jesusconwellpy/secagent-skills/secagent-knowledge)
Your own site
<a href="https://agentmods.dev/skills/jesusconwellpy/secagent-skills/secagent-knowledge"><img src="https://agentmods.dev/badge/skills/jesusconwellpy/secagent-skills/secagent-knowledge.svg" alt="Measured on agentmods" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,382 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 $0.00037 $0.01382
Opus 5 $0.00018 $0.00691
Sonnet 5 $0.00007 $0.00276
Haiku 4.5 $0.00004 $0.00138

Measured 5d ago against content hash 727f4cb722ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

secagent-knowledge 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 5d 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-knowledge/SKILL.md · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SecAgent Knowledge — Local LLM-Wiki

Loading this SKILL gives you a complete local knowledge management system. This is not documentation — you actually create and maintain a structured wiki.

Bootstrap (first load)

1. Determine wiki root:
   WIKI_ROOT = {workspace}/wiki

2. Create directory skeleton:
   mkdir -p {WIKI_ROOT}/entities/{ips,domains,cves,tools}
   mkdir -p {WIKI_ROOT}/concepts/{attack-methods,defense-tech,design-patterns}
   mkdir -p {WIKI_ROOT}/discoveries/{scan-results,vuln-findings,pocs}
   mkdir -p {WIKI_ROOT}/synthesis/{reports,analysis,summaries}

3. Initialize INDEX.md at {WIKI_ROOT}/INDEX.md:
   "# Wiki Index\n\nLast updated: {timestamp}\n\n## Entities\n\n## Discoveries\n\n## Synthesis\n"

4. Confirm: "Wiki ready at {WIKI_ROOT}. Starting knowledge production."

The Knowledge Loop: Produce → Structure → Retrieve → Reuse

Produce (on every discovery)

Trigger → Action:
  IP + port + service found           → write entities/ips/{ip}.md
  Product + version identified        → search CVEs first, then write entities/cves/{cve-id}.md
  CVE matched                         → write entities/cves/{cve-id}.md
  Vulnerability confirmed             → write discoveries/vuln-findings/F{###}.md
  PoC successful                      → write discoveries/pocs/{finding-id}-poc.md
  Sub-agent returns results           → extract findings → write to matching directory
  Attack pattern identified           → write concepts/attack-methods/{technique}.md

File naming: use entity identifiers (IP, CVE ID, Finding ID), not descriptive titles.
After each write: append to the matching section in INDEX.md.

Structure (write with exact templates)

IP Entry (wiki/entities/ips/{ip}.md):

# {ip}
- **First seen**: {timestamp}
- **Last seen**: {timestamp}
- **Hostname**: {hostname or "unknown"}
- **OS**: {os or "unknown"}

## Open Ports
| Port | Service | Version | CVE |
|------|---------|---------|-----|
| {port} | {service} | {version} | {cve or "—"} |

## Findings
- [{finding-id}](../discoveries/vuln-findings/{finding-id}.md): {one-line summary}

Read the full file on GitHub · 161 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. 5d ago First seen · 161 lines · 37 tokens per session scan A 727f4cb722ce

Subscribe to this mod's changes

secagent-knowledge is a skill published in the GitHub repository JesusConwellpy/secagent-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 37 tokens to every session and 1,382 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.

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