Competitive Report Structure
affaan-m/ECC
Assemble scored competitor profile cards (from benchmark-methodology) into a decision-grade competitive report with landscape map, competitor tiers, benchmarking matrix, white-space analysis…
Analyze AI disruption pressure across a business, map competitive exposure, and produce a 90-day defensive action plan.
MITAuto-check passed
Install Moatmri
$ npx skills add sickn33/agentic-awesome-skills --skill moatmri -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills moatmri --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/moatmri .claude/skills/moatmri && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "moatmri" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/moatmri into .claude/skills/moatmri/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moatmri", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/moatmriType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sickn33/agentic-awesome-skills --skill moatmri -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills moatmri --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/moatmri .agents/skills/moatmri && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "moatmri" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/moatmri into .agents/skills/moatmri/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moatmri", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill moatmri -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills moatmri --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/moatmri .cursor/skills/moatmri && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "moatmri" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/moatmri into .cursor/skills/moatmri/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moatmri", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/moatmri--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill moatmri -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills moatmri --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/moatmri .gemini/skills/moatmri && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "moatmri" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/moatmri into .gemini/skills/moatmri/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moatmri", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sickn33/agentic-awesome-skills moatmriInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sickn33/agentic-awesome-skills --skill moatmri -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/moatmri .github/skills/moatmri && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "moatmri" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/moatmri into .github/skills/moatmri/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moatmri", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill moatmri -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills moatmri --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/moatmri .opencode/skills/moatmri && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "moatmri" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/moatmri into .opencode/skills/moatmri/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moatmri", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
moatmri- GitHub stars
- 47k
- Used in
- 1 other repo
- Token cost
- ~1k tokens
- SKILL.md length
- 466 words
- Files
- 1
- Skills in repo
- 1,493
- Repo updated
- First seen
- Licence
- MIT
At a glance
Analyze AI disruption pressure across a business, map competitive exposure, and produce a 90-day defensive action plan.
- Works in 4 steps: Gather Inputs → 10-Vector Pressure Map → AI Front-Door Takeover Storyboard → …
- SKILL.md covers When to Use This Skill, How It Works, Example and Limitations, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Moatmri is an agent skill from sickn33/agentic-awesome-skills. Analyze AI disruption pressure across a business, map competitive exposure, and produce a 90-day defensive action plan.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
Example prompts
- “/moatmri”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 680176d. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
github.comace-license-server-production.up.railway.appintuitek.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Moatmri loads about 1k tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 466 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from sickn33/agentic-awesome-skills at commit 680176d, republished under its MIT licence (© sickn33). 466 words, ~1,007 tokens.
Download SKILL.mdSave it as
.claude/skills/moatmri/SKILL.md (or your agent's skills folder).- name
- moatmri
- description
- Analyze AI disruption pressure across a business, map competitive exposure, and produce a 90-day defensive action plan.
- risk
- safe
- source
- community
- date_added
- 2026-05-31
MoatMRI — AI Disruption Pressure Analysis
Where does intelligence pressure break this system first?
When to Use This Skill
- "Is my business at risk from AI? Where am I most exposed?"
- "How would an AI-native startup take over my market?"
- "What should I do in the next 90 days to defend against AI disruption?"
- "I'm doing due diligence on [company] — what's their AI displacement risk?"
- "Where does my competitive moat actually hold against AI pressure?"
How It Works
Step 1 — Gather Inputs
Ask if not provided:
- Industry (e.g., "real estate", "community banking", "retail pharmacy", "law firm")
- Entity type (e.g., "independent broker", "solo practitioner", "regional franchise")
- Target name (optional — specific organization for named analysis)
Example
User request:
Assess where this business is most exposed to AI disruption and produce a prioritized 90-day defensive plan.
Limitations
- Produces strategic risk analysis, not audited market research or investment advice.
- Depends on current company, market, regulatory, and competitive context supplied by the user or gathered from reliable sources.
- Treats disruption scenarios as planning tools; scores should be revisited as new evidence appears.
Step 2 — 10-Vector Pressure Map
Score AI disruption pressure across exactly these 10 vectors (0–10):
| # | Vector | What to Measure |
|---|---|---|
| 1 | labor_substitution | Which roles/functions are directly automatable |
| 2 | customer_interface | How AI changes how customers reach this entity |
| 3 | knowledge_commoditization | Does AI commoditize the expertise this entity sells |
| 4 | pricing_pressure | Does AI enable lower-cost competitors to undercut |
| 5 | supply_chain_automation | Does AI change input costs or supplier relationships |
| 6 | data_moat | Does this entity have proprietary data AI can't replicate |
| 7 | trust_relationship_moat | How much does customer loyalty protect against displacement |
| 8 | distribution_channel_disruption | Does AI create new channels that bypass this entity |
| 9 | regulatory_compliance_exposure | Does AI alter the regulatory or liability landscape |
| 10 | decision_speed_gap | Does AI accelerate decisions in ways that disadvantage this entity |
For each vector produce: score, headline, near_term (12 months), far_term (3 years).
Aggregate risk score: mean of all 10 vectors. Flag any vector ≥ 7 as critical.
Show full SKILL.md (145 more words)Show less
Step 3 — AI Front-Door Takeover Storyboard
6-step narrative of how an AI-native competitor displaces this entity:
- The entry point
- The wedge (first 10% of market)
- The acceleration (what makes it compound)
- The tipping point (when incumbent can't recover)
- The aftermath
- The survivor profile
Step 4 — 90-Day Counterstrike Plan
- Track A (Days 0–30): Immediate defense — what to stop, what to protect
- Track B (Days 31–60): Intelligence-layer build — data/relationships to fortify
- Track C (Days 61–90): Offensive positioning — use AI pressure as competitive weapon
Best Practices
- ✅ Score all 10 vectors before calculating aggregate — resist stopping at obvious ones
- ✅ Keep the storyboard specific to industry/entity, not generic disruption narrative
- ✅ Track C should be actionable within 90 days, not aspirational 3-year strategy
- ❌ Don't conflate data_moat with trust_relationship_moat — they protect differently
Additional Resources
- Repository: thebrierfox/moatmri-skill
- Full BYOK tool: ace-license-server-production.up.railway.app/byok/moatmri
- Built by IntuiTek¹ (~K¹) — MIT License
© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/moatmri of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit 680176d
Used in 1 other repository
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Moatmri next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Moatmri this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~1k | Automated safety check: Pass | MIT | |
| Competitive Report Structureaffaan-m/ECC | 276k | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Token Mapnexu-io/open-design | 100k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Maps Geographyasgeirtj/system_prompts_leaks | 69k | — | ~717 | Automated safety check: Pass | CC0-1.0 | |
| Competitive Landscapewshobson/agents | 40k | — | ~3k | Automated safety check: Pass | MIT | |
| Competitive Platform Analysisaffaan-m/ECC | 276k | 1 repos | ~3k | Automated safety check: Pass | MIT |
Similar skills
Token Map
nexu-io/open-design
Map an extracted Figma / source-code token bag onto the active OD design system, producing a deterministic mapping the generate stage can consume.
Maps Geography
asgeirtj/system_prompts_leaks
Accurate maps from real geo data — use for any map, or whenever geography would make a good graphic for a deliverable
Competitive Landscape
wshobson/agents
Analyze competition, identify differentiation opportunities, and develop winning market positioning strategies using Porter's Five Forces, Blue Ocean Strategy, and positioning maps.
Competitive Platform Analysis
affaan-m/ECC
A skill your agent uses when scoping a competitive landscape — identifying, categorising, and score-filtering a competitor set before any benchmarking begins.
Feature Map
onyx-dot-app/onyx
Use the Onyx feature map (.agents/feature-map/) to learn what a product surface does, the code behind it, and what a change can break.
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Questions about Moatmri
What does Moatmri do?
Analyze AI disruption pressure across a business, map competitive exposure, and produce a 90-day defensive action plan. Moatmri is an agent skill from sickn33/agentic-awesome-skills. Analyze AI disruption pressure across a business, map competitive exposure, and produce a 90-day defensive action plan.
How do I install Moatmri in Claude Code?
Run `npx skills add sickn33/agentic-awesome-skills --skill moatmri -a claude-code`. Or copy the skill folder (skills/moatmri in sickn33/agentic-awesome-skills) into .claude/skills/moatmri in your project. Claude Code loads it when a task matches its description.
How do I install Moatmri in Codex?
Run `npx skills add sickn33/agentic-awesome-skills --skill moatmri -a codex`. Or copy the skill folder (skills/moatmri in sickn33/agentic-awesome-skills) into .agents/skills/moatmri in your project. Codex loads it when a task matches its description.
Can I use Moatmri in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill moatmri -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/moatmri, .gemini/skills/moatmri, .github/skills/moatmri and .opencode/skills/moatmri in your project.
What does Moatmri need to run?
SKILL.md names no scripts, command-line tools or credentials: Moatmri is instructions for the agent only.
Does Moatmri access the network?
SKILL.md names 3 domains. As links in the text: github.com, ace-license-server-production.up.railway.app and intuitek.ai. This is read from the text; nothing was executed.
Is Moatmri safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Moatmri use?
Moatmri is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Moatmri use?
About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Moatmri?
Skills that share tags, products or a category with Moatmri: Competitive Report Structure (affaan-m/ECC, 276k stars), Token Map (nexu-io/open-design, 100k stars), Maps Geography (asgeirtj/system_prompts_leaks, 69k stars) and Competitive Landscape (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Moatmri?
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,379 GitHub stars. The repository holds 1,493 skills in this directory. The repository was last updated on October 9, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.