assess-strategic-environment

assess-strategic-environment is a skill for Claude Code, Codex from Agent-Engineer-Master/skill-engineer. It costs 226 tokens per session (2,830 once invoked), scanned C, original, MIT.

A framework for judging the kind of competitive environment an industry operates in, using predictability, ability to influence the market, and severity of conditions. It uses BCG's Strategy Palette categories, such as Classical, Adaptive, and Visionary.

In plain words
What is it for?
Use it to classify an industry's environment, support the classification with evidence, identify mixed conditions, and guide later strategy work.
Why use it?
It helps prevent choosing a business strategy that does not fit how quickly the market changes or how much a company can shape it.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to classify an industry's environment, support the classification with evidence, identify mixed conditions, and guide later strategy work.

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Install with agentmods
npx agentmods add skills/agent-engineer-master/skill-engineer/assess-strategic-environment
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.

Any agent
npx skills add Agent-Engineer-Master/skill-engineer --skill assess-strategic-environment
Clone the repo
git clone --depth 1 https://github.com/Agent-Engineer-Master/skill-engineer

Made for: Claude Code, Codex.

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 assess-strategic-environment

README.md
[![agentmods](https://agentmods.dev/badge/skills/agent-engineer-master/skill-engineer/assess-strategic-environment.svg)](https://agentmods.dev/skills/agent-engineer-master/skill-engineer/assess-strategic-environment)
Your own site
<a href="https://agentmods.dev/skills/agent-engineer-master/skill-engineer/assess-strategic-environment"><img src="https://agentmods.dev/badge/skills/agent-engineer-master/skill-engineer/assess-strategic-environment.svg" alt="Measured on agentmods" height="20"></a>
Per session 226 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,830 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. 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 $0.00226 $0.02830
Opus 5 $0.00113 $0.01415
Sonnet 5 $0.00045 $0.00566
Haiku 4.5 $0.00023 $0.00283

Measured 7d ago against content hash d314b096e1f1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade C, and why

assess-strategic-environment scanned grade C with 1 finding 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 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate_environment.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Hidden instructionshighPrompt injection

Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.

<!-- Built with Agent Engineer Master — get your own production-ready skill: www.agentengineermaster.com/skill-engineer -->
strategy/industry-analysis/assess-strategic-environment/SKILL.md · 133 lines

How it starts

The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Assess Strategic Environment

For a defined industry, diagnose the competitive environment type using BCG's Strategy Palette. Output: strategic-environment.md naming the environment in one causal sentence, evidencing the three diagnostic dimensions, flagging ambidexterity where present, and emitting a routing matrix that downstream sub-skills consume.

The discipline: Wrong environment diagnosis = wrong toolkit = useless output. A Classical analysis of an Adaptive industry produces a five-year plan that won't survive contact with reality. An Adaptive analysis of a Classical industry produces overcautious wait-and-see recommendations. This skill runs FIRST in the orchestrator chain.

Iron rules:

  • Every dimension assessment carries V/C/A/I-tagged evidence — see ../_shared/provenance-tagging.md.
  • The classification named in one causal sentence ("Industrial robotics is Adaptive because trajectory is unforecastable beyond 18 months [C: ...], no single player can shape the standards landscape [C: ...], and demand is not in survival-mode [V: ...].").
  • Three diagnostic dimensions independently assessed: predictability, malleability, harshness — none skipped, none collapsed.
  • Routing matrix included — names Phase 1+2 sub-skills with heavy / light / skip designation per the diagnosed environment.
  • 2026 terminology only — see ../_shared/2026-terminology.md.
  • Ambidexterity flagged when the industry genuinely spans two environments (different layers, geos, or customer segments).

Process

1. Intake

Confirm: industry slug, geographic scope (if relevant — the same industry can sit in different environments in different geos), focal layer (optional but recommended for multi-layer industries — see Five Forces focal-layer discipline). Read references/strategy-palette.md for the framework refresher and references/diagnostic-questions.md for the three-question discipline with per-environment anchors.

2. Assess predictability

Can the trajectory be reliably forecast over a 3-5 year horizon? Rate High / Medium / Low. Evidence anchors (see references/diagnostic-questions.md):

  • Demand volatility (5yr coefficient of variation)
  • Technology stability vs disruption cadence
  • Regulatory cliffs / known mandates
  • Number of viable strategic scenarios on a 5yr view

Read the full file on GitHub · 133 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 7d ago First seen · 133 lines · 226 tokens per session scan C d314b096e1f1

Subscribe to this mod's changes

assess-strategic-environment is a skill published in the GitHub repository Agent-Engineer-Master/skill-engineer (8 stars, last pushed 2mo ago), licensed MIT. It adds 226 tokens to every session and 2,830 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.