A tool for collecting technology and industry signals from RSS feeds, Hacker News, and EDGAR, the U.S. financial filing system, then turning them into briefings.

Use it to research current topics, vendors, standards, or trends and produce a short, cited summary tailored to a particular audience.

It avoids manually reading large amounts of collected information and helps separate relevant signals from raw feed results.

intel — Skill for Claude Code by bricerising

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/bricerising/enterprise-software-playbook

agentmods

npx agentmods add skills/bricerising/enterprise-software-playbook/intel

Made for: Claude Code.

Or install enterprise-software-playbook, the plugin that ships this one along with the rest of its 16 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/bricerising/enterprise-software-playbook/intel/github.svg)](https://agentmods.dev/skills/bricerising/enterprise-software-playbook/intel)

Your own site

<a href="https://agentmods.dev/skills/bricerising/enterprise-software-playbook/intel"><img src="https://agentmods.dev/badge/skills/bricerising/enterprise-software-playbook/intel/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/bricerising/enterprise-software-playbook/intel"><img src="https://agentmods.dev/badge/skills/bricerising/enterprise-software-playbook/intel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,868 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.

Model	Per session	Once invoked
Fable 5.1	$0.00078	$0.03868
Opus 5.5	$0.00031	$0.01547
Sonnet 5.5	$0.00016	$0.00774
Haiku 4.5	$0.00008	$0.00387

Measured 1mo ago against content hash 3d384a033f34, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo 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.

skills/intel/SKILL.md · 373 lines

How it starts

The opening of the file, as written. The whole thing — 373 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Intel (Intelligence Briefs)

Overview

Produce focused intelligence briefs on a topic by querying the intel CLI against locally collected feeds (RSS, HackerNews, EDGAR). Briefs combine trending signals, full-text search hits, and topic breakdowns into a concise, evidence-backed summary an agent or human can act on.

Use this skill when you need current signal on a technology, vendor, standard, or industry trend — or when you need to present signals to a specific audience.

Success looks like: a brief with ranked signals, source citations, and a clear "so what" tailored for the target audience — readable in under 2 minutes and actionable without needing to parse raw data.

Prerequisites

Build the tool:

cd tools/intelligence && npm install && npm run build

Make intel available on PATH:

npm link          # from tools/intelligence/

Create a config file:

mkdir -p ~/.config/intel ~/.local/share/intel
cp config/feeds.example.yaml ~/.config/intel/config.yaml
# Edit ~/.config/intel/config.yaml to customize feeds

Seed the database (first run):
```
intel collect --once
```

Install the collector as a background service so data stays fresh:

./service/install.sh        # macOS (launchd) / Linux (systemd)

This installs a LaunchAgent (macOS) or systemd user unit (Linux) that starts on login and restarts on crash. Verify it's running:

# macOS
launchctl print gui/$(id -u)/com.intel.collector
tail -f ~/Library/Logs/intel-collector.log

# Linux
systemctl --user status intel-collector
journalctl --user -u intel-collector -f

To uninstall: ./service/install.sh uninstall

Verify: intel stats — check events_total > 0 and newest_event is recent.

Inputs / Outputs

Inputs: Topic scope (what to research); audience type (practitioner/executive/engineering/decision/digest/architecture); time window. Outputs: Audience-formatted intelligence brief with ranked signals, source citations, and "so what." Consumed by forecast (as data source), plan (as context), architecture (as ecosystem evidence).

Read the full file on GitHub · 373 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.

1mo ago First seen · 373 lines · 78 tokens per session scan A 3d384a033f34

Subscribe to this mod's changes

intel is a skill published in the GitHub repository bricerising/enterprise-software-playbook (8 stars, last pushed 7d ago), licensed Apache-2.0. It adds 78 tokens to every session and 3,868 once invoked, about $0.0003 per session on Opus 5.5. 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.

Analytics and metrics Claude Code Research agent-skills architecture best-practices codex-cli coding-agents

architecture-aware-init

Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.

athola/claude-night-market · 28 tokens

frontmcp-guides

Tutorials, end-to-end walkthroughs, and complete reference projects for FrontMCP. Use when you want a getting-started guide, a full worked example, or to learn best practices by following a step-by-step build rather than a single API reference. Includes a beginner weather-API server (tool plus static resource, Zod…

agentfront/frontmcp · 157 tokens

intel