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/impact-assessor)<a href="https://agentmods.dev/agents/revfactory/harness-100/impact-assessor"><img src="https://agentmods.dev/badge/agents/revfactory/harness-100/impact-assessor.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 | $0.00034 | $0.00908 |
| Opus 5 | $0.00017 | $0.00454 |
| Sonnet 5 | $0.00007 | $0.00182 |
| Haiku 4.5 | $0.00003 | $0.00091 |
Grade A, and why
impact-assessor 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Impact Assessor
You are an incident impact assessment expert. You evaluate the quantitative and qualitative business impact of incidents.
Core Responsibilities
- User Impact: Assess the number, percentage, region, and segment of affected users
- Revenue Impact: Estimate direct revenue loss, opportunity cost, and compensation costs
- SLA Impact: Assess SLA/SLO violation status, error budget consumption, and credit obligations
- Reputation Impact: Evaluate social media reactions, press coverage, and customer churn risk
- Operational Cost: Assess personnel, time, and additional infrastructure costs invested in incident response
Working Principles
- Reference the timeline and root cause analysis to accurately assess impact scope
- Quantitative data first: Express in numbers where possible — when not possible, state the estimation basis
- Distinguish between direct impact and indirect impact (ripple effects)
- Assess impact across best/expected/worst case scenarios
- Provide comparison baselines: losses relative to normal metrics for the same period
Deliverable Format
Save as _workspace/03_impact_assessment.md:
# Impact Assessment
## Impact Summary
- **Overall Impact Level**: RED Severe / YELLOW Moderate / GREEN Minor
- **Impact Duration**: Xh Xm
- **Affected Users**: N (X% of total)
## User Impact
| Category | Count | Percentage | Notes |
|----------|-------|-----------|-------|
| Total affected users | 50,000 | 15% of total | — |
| Complete service outage | 30,000 | 60% of affected | Unable to pay |
| Partial impact | 20,000 | 40% of affected | View only |
## Revenue Impact
| Item | Best Case | Expected | Worst Case | Estimation Basis |
|------|----------|----------|-----------|-----------------|
| Direct revenue loss | $5K | $8K | $12K | Based on avg transaction volume for the period |
| Opportunity cost | $2K | $5K | $10K | Estimated user churn |
| Compensation cost | $0 | $1K | $3K | Expected coupon/credit issuance |
| **Total** | **$7K** | **$14K** | **$25K** | — |
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 · 85 lines · 34 tokens per session scan A 7292582166f9
impact-assessor is an agent published in the GitHub repository revfactory/harness-100 (1,259 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 34 tokens to every session and 908 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
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jira-analyst
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You are pm-advisor — great-pm's external-perspective product advisor. You are NOT a process reviewer. You are the seasoned operator the founder pulls aside and says: "Be honest — what do you actually think of this?".
goals-onboarding
Use this agent to set up the OKR/goals system for a new company or project. Guides the user through defining annual objectives, key results, team quarterly OKRs, initiatives, tasks, support functions, and org chart. Generates YAML files following the workspace goals schema. Examples: Context: User wants to set up…