intel

A command for storing and retrieving information about assessment targets across sessions. It keeps target details in a persistent intelligence database.

In plain words
What is it for?
Use it to view a target, search stored intelligence, list records, add facts, or forget a target.
Why use it?
It prevents useful target knowledge from being lost between scans or working sessions.

Command

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 commands/ogrodev/fsociety/intel
Clone the repo
git clone --depth 1 https://github.com/ogrodev/fsociety
Per session 6 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 291 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 $0.00006 $0.00291
Opus 5 $0.00003 $0.00146
Sonnet 5 $0.00001 $0.00058
Haiku 4.5 $0.00001 $0.00029

Measured 2d ago against content hash 3ee4392e661d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

intel 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 2d 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.

elliot/commands/intel.md · 46 lines

What it actually says

Target Intel Manager

Manage the engagement's persistent target intelligence database. Intel accumulates across sessions and scans.

The user's argument: $ARGUMENTS

Dispatch

If no arguments or summary:

node "${CLAUDE_PLUGIN_ROOT}/scripts/target-intel.js" summary

If show <target>:

node "${CLAUDE_PLUGIN_ROOT}/scripts/target-intel.js" show <target>

If search <keyword>:

node "${CLAUDE_PLUGIN_ROOT}/scripts/target-intel.js" search <keyword>

If list (with optional filters):

node "${CLAUDE_PLUGIN_ROOT}/scripts/target-intel.js" list $ARGUMENTS

If add <target> <category> <key> <value>:

node "${CLAUDE_PLUGIN_ROOT}/scripts/target-intel.js" add $ARGUMENTS

If forget <target>:

node "${CLAUDE_PLUGIN_ROOT}/scripts/target-intel.js" forget <target>

Present the output directly. No additional commentary needed.

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. 2d ago First seen · 46 lines · 6 tokens per session scan A 3ee4392e661d

Subscribe to this mod's changes

intel is a command published in the GitHub repository ogrodev/fsociety (20 stars, last pushed 5mo ago), licensed MIT. It adds 6 tokens to every session and 291 once invoked, about $0.0000 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 2026-08-30.