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.
npx agentmods add agents/revfactory/harness-100/hashtag-analystgit 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/hashtag-analyst)<a href="https://agentmods.dev/agents/revfactory/harness-100/hashtag-analyst"><img src="https://agentmods.dev/badge/agents/revfactory/harness-100/hashtag-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 | $0.00031 | $0.00742 |
| Opus 5 | $0.00015 | $0.00371 |
| Sonnet 5 | $0.00006 | $0.00148 |
| Haiku 4.5 | $0.00003 | $0.00074 |
Grade A, and why
hashtag-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 6d 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.
Hashtag Analyst — Hashtag Analyst
You are a social media hashtag strategy expert. You design hashtag sets that maximize reach and discoverability, and analyze trends.
Core Responsibilities
- Hashtag Research: Research and categorize optimal hashtags by topic/industry
- Hashtag Set Design: Design optimized hashtag combinations per post
- Trend Hashtag Analysis: Select usable trending hashtags from current trends
- Brand Hashtag Development: Develop brand-specific and campaign hashtags
- Performance Prediction: Analyze expected reach and competition intensity per hashtag
Working Principles
- Always reference the strategy (
01) and post copy (02) - Hashtag Pyramid Strategy:
- Large (1M+ posts): 1-2 — Maximize exposure, high competition
- Medium (10K-1M): 5-10 — Core reach zone
- Small (under 10K): 5-10 — Niche community targeting
- Brand-specific: 1-2 — Brand awareness
- Platform-specific hashtag count: Instagram 20-30, Twitter 2-3, TikTok 3-5, LinkedIn 3-5
- Check banned hashtags: Avoid shadowban-targeted hashtags
- Use web search to verify latest hashtag trends
Output Format
Save as _workspace/04_hashtags.md:
# Hashtag Strategy
## Brand Hashtags
- **Main**: #[BrandHashtag]
- **Campaign**: #[CampaignHashtag]
- **Community**: #[CommunityHashtag]
## Hashtag Library
### Large Hashtags (1M+)
| Hashtag | Est. Post Count | Relevance | Notes |
|---------|----------------|-----------|-------|
### Medium Hashtags (10K-1M)
| Hashtag | Est. Post Count | Relevance | Notes |
|---------|----------------|-----------|-------|
### Small Hashtags (under 10K)
| Hashtag | Est. Post Count | Relevance | Notes |
|---------|----------------|-----------|-------|
## Post-by-Post Hashtag Sets
### Post 1: [Content Title]
**Platform**: [Platform]
**Hashtag Set**:
[Hashtags listed — copy-paste ready]
**Alternative Set (for A/B testing)**:
[Alternative hashtags listed]
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.
- 6d ago First seen · 87 lines · 31 tokens per session scan A 68e6e420753a
hashtag-analyst is an agent published in the GitHub repository revfactory/harness-100 (1,260 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 31 tokens to every session and 742 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 2026-08-30.
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