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 skills/voxtechnologies/anty-framework/plan-bnpx skills add VoxTechnologies/anty-framework --skill plan-bgit clone --depth 1 https://github.com/VoxTechnologies/anty-frameworkWhat 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 | $0.00080 | $0.01535 |
| Opus 5 | $0.00040 | $0.00767 |
| Sonnet 5 | $0.00016 | $0.00307 |
| Haiku 4.5 | $0.00008 | $0.00153 |
Grade A, and why
plan-b 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 2d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- plan-b — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan B Framework
When to Apply
- After finalizing any Strategy Kernel (mandatory)
- During periodic environmental scans
- When early warning KPIs trigger
- When buffer enters YELLOW or RED
- When the founder is emotionally attached to a single plan
Core Framework
6 Environmental Forces
Monitor continuously. Any shift can invalidate the current strategy:
| Force | What to Monitor | Trigger |
|---|---|---|
| Technology | Competitor launches, new tools, paradigm shifts | New direct competitor or substitute |
| Cost structure | API costs, tool pricing, entry barriers | Unit economics change >20% |
| Customer needs | Support themes, feature requests, win/loss | NPS drop >10 or new theme >30% of tickets |
| Target customer | Cohort behavior, demographic changes | Best-retaining cohort shifts segment |
| Regulation | Laws, compliance, industry rules | New regulation affecting operations |
| Social mood | Sentiment, brand perception, trends | Sentiment spike or channel backlash |
Multi-force escalation: 2+ forces shifting simultaneously = "Strategy revalidation recommended."
Pre-Mortem (5-Step Process)
- Assume total failure: "It is 6 months from now. This strategy has completely failed."
- Enumerate 3-5 specific failure causes (concrete, not vague)
- For each cause define: prevention, Plan B, early warning KPI, trigger threshold
- Rank by likelihood x impact
- Embed triggers into monitoring for automatic Plan B activation
Scenario Planning with Auto-Triggers
Four scenarios with QUANTITATIVE trigger points:
| Scenario | Trigger | Auto-Response |
|---|---|---|
| OPTIMISTIC | Exceeds target by 20%+ | Continue scaling, increase targets |
| BASE | 80-120% of target | Maintain strategy, increase constraint effort |
| PESSIMISTIC | Buffer RED + growth <3%/week for 3 weeks | Auto-activate Plan B |
| CATASTROPHIC | Buffer >90% + negative growth for 2 weeks | Full strategy reset |
Auto-activation removes bias. Pre-commit to switching. Don't decide in the moment when sunk cost fallacy, loss aversion, and status quo bias are strongest.
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.
- 2d ago First seen · 144 lines · 80 tokens per session scan A 5fe6d6aa592d
plan-b is a skill published in the GitHub repository VoxTechnologies/anty-framework (6 stars, last pushed 4mo ago), licensed MIT. It adds 80 tokens to every session and 1,535 once invoked, about $0.0004 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 2026-08-31.
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