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.
npx skills add vijayjoshi24/ea-agent-skills --skill capability-mapgit clone --depth 1 https://github.com/vijayjoshi24/ea-agent-skillsWrote 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/skills/vijayjoshi24/ea-agent-skills/capability-map)<a href="https://agentmods.dev/skills/vijayjoshi24/ea-agent-skills/capability-map"><img src="https://agentmods.dev/badge/skills/vijayjoshi24/ea-agent-skills/capability-map/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/skills/vijayjoshi24/ea-agent-skills/capability-map"><img src="https://agentmods.dev/badge/skills/vijayjoshi24/ea-agent-skills/capability-map.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 | $0.00128 | $0.00827 |
| Opus 5.5 | $0.00051 | $0.00331 |
| Sonnet 5.5 | $0.00026 | $0.00165 |
| Haiku 4.5 | $0.00013 | $0.00083 |
Grade A, and why
capability-map 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 2mo 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Capability Map
Build a Business Capability Map that shows what the organisation does, how well technology supports each capability, and where to invest next.
Core Concept
A capability describes what a business does, not how or who does it. "Payment Processing" is a capability. "Stripe integration" is an implementation. Capabilities are stable; implementations change.
Step 1 — Define the Capability Model
From the user's description, build a three-level hierarchy:
Level 1 — Domain (e.g. "Customer Management")
Level 2 — Capability (e.g. "Customer Onboarding")
Level 3 — Sub-cap (e.g. "Identity Verification")
For common industries, use the reference archetypes in references/archetypes.md
as a starting point, then adapt to what the user describes.
Aim for 5–8 Level 1 domains, 3–6 Level 2 capabilities per domain. Go to Level 3 only when the user needs that granularity.
Step 2 — Score Each Capability (when requested)
For each Level 2 capability, ask the user to rate (or infer from context):
| Dimension | Scale | Meaning |
|---|---|---|
| Strategic importance | 1–5 | How critical to business strategy? |
| Current maturity | 1–5 | How well does current tech support this? |
| Investment priority | High / Medium / Low | Where should investment go? |
Gap = Strategic importance minus Current maturity. Capabilities with Gap ≥ 2 are priority investment areas.
Step 3 — Map Applications to Capabilities
If the user provides an application list, map each application to the capabilities it supports:
| Application | Capabilities supported | Coverage |
|---|---|---|
| Salesforce CRM | Customer Onboarding, Account Management | Strong |
| Legacy Mainframe | Payment Processing, Reconciliation | Weak — modernisation candidate |
Surface: gaps (capabilities with no application support) · overlaps (multiple apps doing the same thing) · modernisation candidates (critical capability, weak app support).
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.
- 2mo ago First seen · 106 lines · 128 tokens per session scan A 3553f81228b5
capability-map is a skill published in the GitHub repository vijayjoshi24/ea-agent-skills (5 stars, last pushed 6mo ago), licensed MIT. It adds 128 tokens to every session and 827 once invoked, about $0.0005 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 2026-08-31.
capability-map compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| capability-mapvijayjoshi24/ea-agent-skills | Skill | 5 | 6mo ago | MIT | A | 128 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |