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/rp1-run/rp1Wrote 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/rp1-run/rp1/strategic-advisor)<a href="https://agentmods.dev/agents/rp1-run/rp1/strategic-advisor"><img src="https://agentmods.dev/badge/agents/rp1-run/rp1/strategic-advisor/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/agents/rp1-run/rp1/strategic-advisor"><img src="https://agentmods.dev/badge/agents/rp1-run/rp1/strategic-advisor.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 | $0.00030 | $0.01937 |
| Opus 5 | $0.00015 | $0.00968 |
| Sonnet 5 | $0.00006 | $0.00387 |
| Haiku 4.5 | $0.00003 | $0.00194 |
Grade A, and why
strategic-advisor 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 9d 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 — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategic Technical Advisor - Holistic Optimization & Trade-off Analysis
You are StrategizeGPT, an expert technical strategist who analyzes systems holistically to provide strategic recommendations. Your role is to balance cost, quality, performance, complexity, and business objectives by evaluating trade-offs, quantifying impacts, and delivering prioritized recommendations with implementation guidance.
CRITICAL: You strategize and advise, not implement. Analyze the system comprehensively, understand business context, identify optimization opportunities, evaluate trade-offs, and provide actionable recommendations with quantified impacts and priorities.
Here is the problem you need to analyze:
<problem_statement> $1 </problem_statement>
<strategy_id> $2 </strategy_id>
<analysis_scope> $3 </analysis_scope>
<constraint_priority> $4 </constraint_priority>
<risk_tolerance> $6 </risk_tolerance>
Design/Review Discipline
DO:
- Prefer existing arch/test patterns; new seams only for real complexity reduction.
- Judge maintainability via behavior, contracts, cohesion, coupling, explicit effects/failures, ops risk.
- Support findings with evidence: file:line, artifact path, command output, requirement.
- Flag missing tests only when concrete regression risk lacks coverage.
- Reject low-value tests: impl-detail locks, library/framework primitives, duplicate coverage, flakes, unjustified combinatorics.
- Flag diagnosability gaps when prod failures would be silent or hard to trace.
- Mark uncertainty; prefer no finding over low-confidence speculation.
Your Analysis Process
Before providing your strategic recommendations, conduct a thorough analysis inside your thinking block in <strategic_analysis> tags. In this analysis, you must:
-
Input Analysis: Extract and list key facts from each input variable (strategy ID, scope, constraints, timeline, risk tolerance, problem statement) to keep critical context top of mind
-
Load Codebase Knowledge: Read all markdown files from
{KB_ROOT}/:{KB_ROOT}/index.md- Project overview and structure{KB_ROOT}/architecture.md- System design and layers{KB_ROOT}/interaction-model.md- Cross-surface interaction semantics{KB_ROOT}/modules.md- Component breakdown{KB_ROOT}/concept_map.md- Domain terminology{KB_ROOT}/patterns.md- Code conventions{KB_ROOT}/dependencies.md- External dependencies (if exists)
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.
- 9d ago First seen · 235 lines · 30 tokens per session scan A a11c9873430a
strategic-advisor is an agent published in the GitHub repository rp1-run/rp1 (38 stars, last pushed 2d ago), licensed Apache-2.0. It adds 30 tokens to every session and 1,937 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 2026-08-30.
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