Automated summary

A mission-driven local web research agent that plans scans, queries multiple sources (Hacker News, GitHub, Jina Reader), and writes a markdown brief.

Strengths

Autonomous mission planning based on objectives
Integration with multiple source adapters for broad coverage
Generates structured Markdown briefs in a dedicated inbox directory
Ability to follow promising leads iteratively

Limitations

Requires manual setup of API keys (JINA, GitHub, Anthropic)
Quality of results depends on the relevance of source adapters
Can consume a large number of tokens for complex missions

When to use it

When you need to quickly gather technical signals from multiple open sources and synthesize them into a structured report.

When not to use it

When real-time data or continuous streaming is needed, or if the user cannot provide the required API keys.

Security analysis

Caution

Quality score85/100

The skill uses Bash to run arbitrary Python and shell scripts that may access the internet and install dependencies. While the purpose (web research) is legitimate, the actual code is not provided in the SKILL.md, so users must independently verify the safety of the scripts. No destructive or obfuscated commands are present, but the power given to Bash and the reliance on external files warrant caution.

Findings

•Skill instructs execution of external Python and shell scripts (`python agent.py`, `./quick.sh`, `./scout.sh`, `./daily.sh`) that are not included in SKILL.md, requiring trust that the associated directory contains safe code.
•Setup command `pip install -r requirements.txt` installs unspecified dependencies from PyPI, which could pull malicious packages if the repository is compromised.
•The agent has network access (calls web adapters), so a compromised script could exfiltrate data or perform unintended actions.

How this analysis is made

Examples

Daily technical signals

Find 3 interesting technical signals from today using hn_front, github_trending, and jina_read. Write a brief.

Open-source agent tooling

Find open-source agent tooling worth tracking this week and write a brief.

Trend monitoring

Monitor current trends in AI coding assistants from Hacker News and GitHub and summarize the top 5 signals.

name: scout description: Run a local web research agent and mission-driven intelligence scanner that searches multiple sources and writes markdown briefs. Best for trend monitoring, opportunity scouting, builder discovery, and technical signal scanning. allowed-tools: [Bash, Read]

Scout

Name: Scout: Local Web Research Agent
Author: Skills Guide Bot

Mission-driven local web research agent backed by the files in this directory.

What it does

plans a scan from a mission
calls source adapters to gather signal
follows promising leads
writes a markdown brief to inbox/

Best for:

technical trend monitoring
open-source discovery
opportunity scouting
builder and ecosystem research

Working adapters

Hacker News
GitHub
Jina Reader

Setup

pip install -r requirements.txt
cp .env.example .env

Then configure one of:

Codex auth: codex login --device-auth
ANTHROPIC_API_KEY

Optional:

JINA_API_KEY
GITHUB_TOKEN

Direct commands

python agent.py --mission "Find 3 interesting technical signals from today" --tokens 5000
./quick.sh --mission "Find 2 interesting GitHub repos from this week"
./scout.sh --tokens 20000 --mission "Find open-source agent tooling worth tracking"
./daily.sh --tokens 10000

Recommended smoke test

python agent.py --mission "Use hn_front, github_trending, and jina_read to find 2 interesting technical signals from today and write a brief." --tokens 2500

If the setup works, Scout writes a markdown brief to inbox/.

From the file to a first result

The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.

View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/scout-local-web-research-agent-mryiqivv/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/scout-local-web-research-agent-mryiqivv' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/scout-local-web-research-agent-mryiqivv/download' --output '.skill-downloads/scout-local-web-research-agent-mryiqivv/SKILL.md.part' && mv '.skill-downloads/scout-local-web-research-agent-mryiqivv/SKILL.md.part' '.skill-downloads/scout-local-web-research-agent-mryiqivv/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

Original excerpt: Setup

pip install -r requirements.txt
cp .env.example .env

Then configure one of:

Codex auth: codex login --device-auth
ANTHROPIC_API_KEY

Optional:

JINA_API_KEY
GITHUB_TOKEN

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.

Claude Code

test -f '.skill-downloads/scout-local-web-research-agent-mryiqivv/SKILL.md' && test -s '.skill-downloads/scout-local-web-research-agent-mryiqivv/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/scout' && cp -R '.skill-downloads/scout-local-web-research-agent-mryiqivv' '.claude/skills/scout'

Codex

test -f '.skill-downloads/scout-local-web-research-agent-mryiqivv/SKILL.md' && test -s '.skill-downloads/scout-local-web-research-agent-mryiqivv/SKILL.md' && mkdir -p '.agents/skills' && test ! -e '.agents/skills/scout' && cp -R '.skill-downloads/scout-local-web-research-agent-mryiqivv' '.agents/skills/scout'

OpenSkills

OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.

Official OpenSkills installation

openskills install './.skill-downloads/scout-local-web-research-agent-mryiqivv'

openskills read 'scout-local-web-research-agent-mryiqivv'

Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.

For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.

openskills sync

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/scout-local-web-research-agent-mryiqivv/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

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