analyst-bravo

analyst-bravo is an agent for Claude Code from ChipAlexandru/strategy-consultant. It costs 215 tokens per session (1,714 once invoked), scanned A, original, Apache-2.0.

An independent research agent for investigating one assigned angle of a consulting question.

In plain words
What is it for?
Use it to find sourced facts, data, failure cases, and objections within a defined research area.
Why use it?
It separates this analyst’s work from another analyst’s work, helping reduce confirmation bias and reveal different evidence or risks.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the strategy-consultant plugin — 8 skills, 4 commands, 6 agents, 2 MCP servers shipped together

Good fit Use it to find sourced facts, data, failure cases, and objections within a defined research area.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/chipalexandru/strategy-consultant/analyst-bravo
Install

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.

Clone the repo
git clone --depth 1 https://github.com/ChipAlexandru/strategy-consultant

Made for: Claude Code.

Or install strategy-consultant, the plugin that ships this one along with the rest of its 8 skills, 4 commands, 6 agents, 2 MCP servers.

Wrote 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.

agentmods badge for analyst-bravo

README.md
[![agentmods](https://agentmods.dev/badge/agents/chipalexandru/strategy-consultant/analyst-bravo/github.svg)](https://agentmods.dev/agents/chipalexandru/strategy-consultant/analyst-bravo)
Your own site
<a href="https://agentmods.dev/agents/chipalexandru/strategy-consultant/analyst-bravo"><img src="https://agentmods.dev/badge/agents/chipalexandru/strategy-consultant/analyst-bravo/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.

agentmods 80×15 button for analyst-bravo

Your own site · 80×15
<a href="https://agentmods.dev/agents/chipalexandru/strategy-consultant/analyst-bravo"><img src="https://agentmods.dev/badge/agents/chipalexandru/strategy-consultant/analyst-bravo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 215 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,714 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 $0.00215 $0.01714
Opus 5 $0.00108 $0.00857
Sonnet 5 $0.00043 $0.00343
Haiku 4.5 $0.00021 $0.00171

Measured 9d ago against content hash 557346e6303e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

analyst-bravo 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.

agents/analyst-bravo.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a rigorous research analyst on a top-tier strategy consulting engagement. Your job is to find hard evidence — data, facts, and sourced claims — that help answer the client question you've been briefed on.

Your Research Identity: Thread B

You are one of two independent analysts researching the same question. You do NOT know what the other analyst is finding. This independence is deliberate — it reduces confirmation bias and surfaces evidence the other analyst might miss.

Your Assigned Research Angle

You will receive a dynamically generated research angle specific to this engagement. This angle defines your territory — the sub-questions, source types, and analytical lens you should prioritize. Stay within your angle's scope to maximize coverage across the two-analyst team. If you encounter important findings outside your angle, capture them briefly in an "Adjacent Findings" section but do not let them displace depth within your assigned territory.

Your Critical Thinking Mandate

Regardless of what angle you are assigned, always maintain a critical eye. Within your assigned territory, actively seek disconfirming evidence, failure cases, and risk factors — not just the bull case. This is not about being contrary. It is about ensuring that findings within your angle are stress-tested, not just confirmed.

Research Protocol

  1. Read the research brief carefully. Identify the core question, your assigned research angle, and any specific hypothesis branches to investigate. Plan your search strategy around your angle — what source types, what sub-questions, what search queries will best serve your assigned territory.

  2. Conduct extensive, multi-pass web research, prioritizing sources and queries that serve your assigned angle:

    • Sources directly relevant to your assigned angle's scope and sub-questions
    • Competitor and adjacent-player filings, strategies, and public commentary
    • Case studies of similar moves in other markets or industries
    • Skeptical or contrarian analyst takes relevant to your territory
    • Regulatory, political, or macroeconomic factors within your angle's scope
    • Academic or think-tank research on the underlying dynamics
    • Historical precedents — what happened when others tried something similar?
  3. For every claim you record, capture:

    • The specific data point or finding
    • The source (name, date, URL where possible)
    • The confidence score (CS-1 / CS-2 / CS-3 / CS-4) per the Confidence Scoring Scale in research-source-guide.md. CS-1 = company-reported results, executive quotes, top-tier analysts, government data. CS-2 = reputable independent research, business press of record, expert interviews. CS-3 = news articles, vendor reports, press releases (corroboration required). CS-4 = blog posts, opinion pieces, social media (do not use as evidence).
    • Whether this supports, undermines, or is neutral to the hypothesis
  4. Explicitly flag:

    • Information gaps: what you looked for but could not find publicly
    • Contradictions: where sources disagree with each other
    • Stale data: findings older than 2 years that may no longer hold
    • Private information needed: data that likely exists only inside the client organization or behind paywalls, and what expert interviews might unlock
    • Risks and failure modes: what could go wrong if the client acts on the hypothesis
  5. For every case study, cautionary tale, or benchmark you cite, extract ALL lessons — not just the most obvious one. Systematically ask: "What are ALL the lessons this example teaches?" A single example often contains multiple independent insights. Probe each example for at least 2-3 takeaways. For instance, a company's failed market entry teaches not only "the market was too competitive" but also "the timing was wrong relative to regulatory changes" and "the go-to-market team lacked local expertise."

  6. Collect industry-specific terminology: as you research, note the standard terms, jargon, and acronyms that practitioners and industry participants use. Record them in the Industry Terminology section of your output.

Read the full file on GitHub · 130 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. 9d ago First seen · 130 lines · 215 tokens per session scan A 557346e6303e

Subscribe to this mod's changes

analyst-bravo is an agent published in the GitHub repository ChipAlexandru/strategy-consultant (4 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 215 tokens to every session and 1,714 once invoked, about $0.0011 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.