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/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/swot)<a href="https://agentmods.dev/commands/abinauv/business-consulting/swot"><img src="https://agentmods.dev/badge/commands/abinauv/business-consulting/swot.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 | $0.00007 | $0.00290 |
| Opus 5 | $0.00003 | $0.00145 |
| Sonnet 5 | $0.00001 | $0.00058 |
| Haiku 4.5 | $0.00001 | $0.00029 |
Grade A, and why
swot 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 8d 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
SWOT Analysis
Conduct a SWOT analysis for $ARGUMENTS.
Instructions
Deliver a comprehensive SWOT with strategic implications:
Step 1: SWOT Matrix
For each quadrant, provide 4-6 items with evidence:
| Positive | Negative | |
|---|---|---|
| Internal | Strengths: What does the company do well? Unique resources? | Weaknesses: Where does it underperform? Resource gaps? |
| External | Opportunities: Market trends in its favor? Unmet needs? | Threats: Competitive moves? Regulatory risks? Market shifts? |
Step 2: TOWS Strategic Options
Generate strategies from each intersection:
- SO (Strengths × Opportunities): Use strengths to capitalize on opportunities
- WO (Weaknesses × Opportunities): Address weaknesses to exploit opportunities
- ST (Strengths × Threats): Use strengths to mitigate threats
- WT (Weaknesses × Threats): Minimize weaknesses and avoid threats
Step 3: Strategic Implications
- Top 3 strategic priorities (ranked by impact)
- Recommended immediate actions (next 90 days)
Format with clear tables. Use evidence and data for each SWOT item, not generic statements.
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.
- 8d ago First seen · 34 lines · 7 tokens per session scan A 6e3da6211e96
swot is a command published in the GitHub repository abinauv/business-consulting (28 stars, last pushed 6mo ago), licensed MIT. It adds 7 tokens to every session and 290 once invoked, about $0.0000 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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