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 commands/abinauv/business-consulting/benchmarkgit clone --depth 1 https://github.com/abinauv/business-consultingWrote 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/commands/abinauv/business-consulting/benchmark)<a href="https://agentmods.dev/commands/abinauv/business-consulting/benchmark"><img src="https://agentmods.dev/badge/commands/abinauv/business-consulting/benchmark.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 | $0.00010 | $0.00328 |
| Opus 5 | $0.00005 | $0.00164 |
| Sonnet 5 | $0.00002 | $0.00066 |
| Haiku 4.5 | $0.00001 | $0.00033 |
Grade A, and why
benchmark 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 5d 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.
What it actually says
Benchmarking Analysis
Conduct a benchmarking analysis for $ARGUMENTS.
Instructions
1. Define Scope
- What is being benchmarked? (company, function, process, metric)
- What metrics matter most for this context?
2. Select Peer Set
- Identify 5-8 relevant peers with rationale for each
- Document selection criteria (industry, size, geography, business model)
3. Collect & Compare Metrics
Present in a comparison table:
| Metric | Client | Peer 1 | Peer 2 | Peer 3 | Peer Median | Best-in-Class | Gap vs. Median |
|---|
Include financial metrics (revenue growth, margins, efficiency ratios) and operational metrics as relevant.
4. Gap Analysis
- Color-code: Green (at/above median), Yellow (within 10%), Red (>10% below)
- Identify the 3-5 most significant gaps
- Quantify the financial impact of closing each gap
5. Root Cause Diagnosis
For the top 3 gaps:
- What is driving the gap? (process, people, technology, strategy)
- What would it take to close it?
6. Recommendations
- Prioritized action plan: Quick wins, medium-term, structural
- Expected improvement for each action
Use web search for peer data. Cite all sources. Flag data confidence.
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.
- 5d ago First seen · 43 lines · 10 tokens per session scan A b217ac4d8f46
benchmark is a command published in the GitHub repository abinauv/business-consulting (26 stars, last pushed 6mo ago), licensed MIT. It adds 10 tokens to every session and 328 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.
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