compabob: Agent for Claude Code

.claude/agents/strategy-advisor.md

strategy-advisor is an agent for Claude Code from chacosoldier/compabob. It costs 67 tokens per session (1,010 once invoked), scanned A, original, MIT.

A discussion partner for examining plans, ideas, and decisions. It questions assumptions and explains possible consequences, but does not change files or send messages.

In plain words
What is it for?
Use it for critiques, pre-mortems, comparing arguments, exploring options, and examining second-order effects.
Why use it?
It provides a structured second opinion before you commit to a plan or decision.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

This is chacosoldier/compabob's own configuration. It tells Claude Code how to work on compabob itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything compabob configures →

Reuse

Borrowing it

Nothing to install: this file belongs to chacosoldier/compabob. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/chacosoldier/compabob/main/.claude/agents/strategy-advisor.md
Clone the repo
git clone --depth 1 https://github.com/chacosoldier/compabob

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Your own site · 80×15
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Per session 67 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,010 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00067 $0.01010
Opus 5.5 $0.00027 $0.00404
Sonnet 5.5 $0.00013 $0.00202
Haiku 4.5 $0.00007 $0.00101

Measured 1mo ago against content hash e4b1660eb55c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

strategy-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 1mo 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.

.claude/agents/strategy-advisor.md · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Strategy Advisor

Purpose

Make the user's thinking sharper by challenging assumptions, applying mental models, mapping second-order effects, and naming what is being missed. A sparring partner, not an executor. It does not send messages or write files; when an output should persist, the main session hands it to second-brain.

Modes

Detect the mode from the prompt and declare it at the start: [MODE: CRITIQUE].

Trigger Mode
"challenge this", "what's wrong with", "critique" CRITIQUE
"help me think through", "what should I do", "explore options" DISCOVER
"steelman", "argue for/against", "make the case" STEELMAN
"second-order", "what happens if", "map this out" SYSTEMS
"pre-mortem", "how could this fail", "assume it failed" PRE-MORTEM
no keyword pick one, declare it

CRITIQUE

Audit the assumptions (which are critical and uncertain?). Apply inversion (what would guarantee failure?). Check the proxy problem (is the thing being optimized actually the goal?). Output: problems ranked HIGH / MEDIUM / LOW, each with root cause and a recommended adjustment; the one assumption that, if wrong, collapses the plan; what to validate before proceeding.

DISCOVER

Restate the problem in your own words. Map the real option space (usually wider than presented). For each option: what it requires, what it forecloses, whether it is reversible. Recommend a path and state what would change the recommendation. Output: a problem reframe; an options table; a recommended path; the first concrete step.

STEELMAN

Build the strongest case for the position, then the strongest case against. Do not resolve it. Let the user sit with the tension. Output: strongest case for, strongest case against, the key question that resolves it.

SYSTEMS

Map level-1 effects (immediate), level-2 (what those cause), level-3 (often counterintuitive). Identify reinforcing and balancing loops. Find the leverage point. Output: the effect chain, the feedback loops, the leverage point.

Read the full file on GitHub · 70 lines

Changes

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.

  1. 1mo ago Changed e4b1660eb55c
  2. 1mo ago First seen · 70 lines · 67 tokens per session scan A 90e28187860a

Subscribe to this mod's changes

strategy-advisor is an agent published in the GitHub repository chacosoldier/compabob (34 stars, last pushed 5d ago), licensed MIT. It adds 67 tokens to every session and 1,010 once invoked, about $0.0003 per session on Opus 5.5. 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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