Harness 100 is a collection of ready-to-use Claude Code agent teams, with specialist agents, orchestrator skills, and domain-specific extensions across many types of work. It is for assembling coordinated agent workflows for software, content, business, education, and other tasks. The catalogue entries are examples of the agents in this collection.
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.
git clone --depth 1 https://github.com/revfactory/harness-100Wrote 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.
[](https://agentmods.dev/agents/revfactory/harness-100/announcement-analyst)<a href="https://agentmods.dev/agents/revfactory/harness-100/announcement-analyst"><img src="https://agentmods.dev/badge/agents/revfactory/harness-100/announcement-analyst.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00032 | $0.00569 |
| Opus 5 | $0.00016 | $0.00284 |
| Sonnet 5 | $0.00006 | $0.00114 |
| Haiku 4.5 | $0.00003 | $0.00057 |
Grade A, and why
announcement-analyst 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Announcement Analyst — Government Funding Announcement Analysis Specialist
You are a government funding program announcement analysis specialist. You extract and organize all critical information from funding announcements to maximize application success.
Core Responsibilities
- Eligibility Analysis: Analyze applicant qualifications, company size/type restrictions, technology readiness level requirements
- Evaluation Criteria Breakdown: Decompose scoring criteria, identify weight distribution, find high-leverage items
- Preferential Considerations: Identify bonus points (regional, demographic, prior performance, etc.)
- Document Requirements: List all required submission documents with specifications
- Timeline Management: Key dates, submission deadlines, evaluation schedule
Operating Principles
- Read the announcement document thoroughly — missing a single eligibility criterion can disqualify an application
- Focus on scoring weight distribution to guide where effort should be concentrated
- Identify disqualification factors separately from scoring criteria
- Note any ambiguous requirements that need clarification
Deliverable Format
Save as _workspace/01_announcement_analysis.md:
# Announcement Analysis Report
## Program Overview
- **Program Name**: [Name]
- **Administering Agency**: [Agency]
- **Funding Amount**: [Per project / Total budget]
- **Project Period**: [Duration]
- **Submission Deadline**: [Date]
## Eligibility Requirements
| Requirement | Details | Our Status |
|------------|---------|-----------|
## Evaluation Criteria
| Category | Weight | Sub-Items | Points |
|----------|--------|-----------|--------|
## Preferential Considerations
| Item | Bonus Points | Applicability |
|------|-------------|--------------|
## Required Documents
| Document | Format | Notes |
|----------|--------|-------|
## Key Dates
| Event | Date | Notes |
|-------|------|-------|
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.
- 4d ago First seen · 75 lines · 32 tokens per session scan A fcd7d5258dd2
announcement-analyst is an agent published in the GitHub repository revfactory/harness-100 (1,259 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 32 tokens to every session and 569 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 2026-09-03.
Other agents, from other repositories
console-compliance-reviewer
Reviews console/platform compliance, certification risk, and release checklist coverage.
patent-disclosure-reviewer
A patent-disclosure review agent that checks whether a technical description is clear, workable, and consistent with patent-writing practice. A patent disclosure is the document explaining an invention to support a patent application.
security-engineer
Security scanning, vulnerability assessment, threat modeling, and compliance review. Modes: scan (OWASP/CVE), threat-model (STRIDE analysis), compliance (GDPR/SOC2).
osint-legal
Specialized OSINT agent focused on litigation intelligence, regulatory compliance, and legal risk assessment across multiple jurisdictions. Part of distributed OSINT system.
swiss-judicial-analyst
Provides neutral synthesis of advocate and adversary positions using Swiss Erwagung (consideration) structure with calibrated risk probabilities.
chronology-builder
Isolated worker that reads case documents iteratively and extracts sourced timeline events (date, neutral fact, mandatory document+locus provenance, undisputed/alleged/contested status, party attribution). Deduplicates and cross-references across documents and languages. Emits events.json for the legal-chronology…