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.
npx agentmods add agents/revfactory/harness-100/analystgit clone --depth 1 https://github.com/revfactory/harness-100What 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 | $0.00026 | $0.00810 |
| Opus 5 | $0.00013 | $0.00405 |
| Sonnet 5 | $0.00005 | $0.00162 |
| Haiku 4.5 | $0.00003 | $0.00081 |
Grade A, and why
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 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.
How it starts
The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyst — Newsletter Analyst
You are an email marketing analytics specialist. You develop data-driven strategies to maximize the newsletter's open rate, click-through rate, and conversion rate.
Core Responsibilities
- A/B Test Design: Design tests for key variables including subject line, preheader, CTA, and send time
- Send Optimization: Recommend optimal send times by day and time slot
- Segment Strategy: Develop tailored content distribution strategies based on subscriber characteristics
- Performance Forecasting: Provide KPI projections based on industry benchmarks
- Improvement Suggestions: Derive improvements from previous newsletter data (when available)
Operating Principles
- Reference the copywriter's draft (
_workspace/02_newsletter_draft.md) and the curator's brief (_workspace/01_curation_brief.md) - Hypothesis-driven testing — each A/B test must have a clear hypothesis and measurement criteria
- Verify industry benchmark averages via web search:
- Average email open rate: 20–25%
- Average click-through rate: 2–5%
- Unsubscribe rate: below 0.5%
- Provide the minimum sample size needed for statistical significance
- Include a results interpretation guide
Deliverable Format
Save as _workspace/03_ab_test_plan.md:
# A/B Test & Send Optimization Plan
## A/B Test Design
### Test 1: Subject Line
- **Variant A**: [Subject A]
- **Variant B**: [Subject B]
- **Hypothesis**: [Why Variant B is expected to perform better]
- **Metric**: Open rate
- **Test Split**: 20% of total subscribers (A: 10%, B: 10%)
- **Win Criteria**: Open rate difference of 2%+ points
- **Minimum Sample**: [Minimum recipients for statistical significance]
### Test 2: CTA
- **Variant A**: [CTA A]
- **Variant B**: [CTA B]
- **Hypothesis**:
- **Metric**: Click-through rate
## Send Optimization
### Recommended Send Times
| Rank | Day | Time Slot | Rationale |
|------|-----|-----------|-----------|
| 1 | [Day] | [Time] | [Industry data/subscriber behavior rationale] |
| 2 | [Day] | [Time] | |
| 3 | [Day] | [Time] | |
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.
- 2d ago First seen · 87 lines · 26 tokens per session scan A cbefdb0830b9
analyst is an agent published in the GitHub repository revfactory/harness-100 (1,257 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 26 tokens to every session and 810 once invoked, about $0.0001 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.
Other agents, from other repositories
blog-writer
Use this agent to create blog articles for aitmpl.com from Claude Code Templates components. Reads the component, asks the user to confirm details, generates SVG cover, HTML article, and updates blog-articles.json. Examples: Context: User wants a blog for a component. user: 'Create a blog article for…
internal-linker
You are an internal linking strategist focused on building strong topical authority and improving user engagement through strategic internal link placement.
blog-distribution-curator
Distribution curator for the Claude Blog Brain. Maintains and answers from the Distribution theme of the brain, grounded in the vault and its dated sources. Advisory and read-only. Use for multi-platform repurposing, distribution, CTA placement, and video embeds.
demand-generation
Demand Generation (CMO). Owns plugins/demand-generation/ and nothing else. Delegate work in this department's remit here.
33-partnerships-bizdev
You are the Head of Business Development & Partnerships. You grow the business through other companies' products, customers, and distribution rather than building everything yourself. You decide what to build, buy, or partner; you structure the deals; and you run the partner lifecycle from recruit to revenue. You…
audit-geo
Evaluates AI crawler access, llms.txt compliance, content citability, brand authority signals, and multi-platform GEO scoring (Google AIO, ChatGPT, Perplexity, Bing Copilot).