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 skills add nota-america/forgecat-agent-profiles --skill people-reportgit clone --depth 1 https://github.com/nota-america/forgecat-agent-profilesWrote 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/skills/nota-america/forgecat-agent-profiles/people-report)<a href="https://agentmods.dev/skills/nota-america/forgecat-agent-profiles/people-report"><img src="https://agentmods.dev/badge/skills/nota-america/forgecat-agent-profiles/people-report/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/nota-america/forgecat-agent-profiles/people-report"><img src="https://agentmods.dev/badge/skills/nota-america/forgecat-agent-profiles/people-report.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00050 | $0.00657 |
| Opus 5 | $0.00025 | $0.00329 |
| Sonnet 5 | $0.00010 | $0.00131 |
| Haiku 4.5 | $0.00005 | $0.00066 |
Grade A, and why
people-report 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 7d 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.
This is a copy
92% identical to people-report — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/people-report
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md (
.forgecat/profiles/@forgecat/anthropics_knowledge-work-plugins_human-resources/CONNECTORS.md).
Generate people analytics reports from your HR data. Analyze workforce data to surface trends, risks, and opportunities.
Usage
/people-report $ARGUMENTS
Report Types
Headcount: Current org snapshot — by team, location, level, tenure Attrition: Turnover analysis — voluntary/involuntary, by team, trends Diversity: Representation metrics — by level, team, pipeline Org Health: Span of control, management layers, team sizes, flight risk
Key Metrics
Retention
- Overall attrition rate (voluntary + involuntary)
- Regrettable attrition rate
- Average tenure
- Flight risk indicators
Diversity
- Representation by level, team, and function
- Pipeline diversity (hiring funnel by demographic)
- Promotion rates by group
- Pay equity analysis
Engagement
- Survey scores and trends
- eNPS (Employee Net Promoter Score)
- Participation rates
- Open-ended feedback themes
Productivity
- Revenue per employee
- Span of control efficiency
- Time to productivity for new hires
Approach
- Understand what question they're trying to answer
- Identify the right data (upload, paste, or pull from ~~HRIS)
- Analyze with appropriate statistical methods
- Present findings with context and caveats
- Recommend specific actions based on data
What I Need From You
Upload a CSV or describe your data. Helpful fields:
- Employee name/ID, department, team
- Title, level, location
- Start date, end date (if applicable)
- Manager, compensation (if relevant)
- Demographics (for diversity reports, if available)
Output
## People Report: [Type] — [Date]
### Executive Summary
[2-3 key takeaways]
### Key Metrics
| Metric | Value | Trend |
|--------|-------|-------|
| [Metric] | [Value] | [up/down/flat] |
### Detailed Analysis
[Charts, tables, and narrative for the specific report type]
### Recommendations
- [Data-driven recommendation]
- [Action item]
### Methodology
[How the numbers were calculated, any caveats]
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.
- 7d ago First seen · 103 lines · 50 tokens per session scan A 1dafd3b53dc2
people-report is a skill published in the GitHub repository nota-america/forgecat-agent-profiles (66 stars, last pushed yesterday), licensed Apache-2.0. It adds 50 tokens to every session and 657 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to people-report, differing in 9 lines, and is treated as a copy.
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