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 dkharlanau/agent-ready-web-profile --skill arwp-portfolio-fleetgit clone --depth 1 https://github.com/dkharlanau/agent-ready-web-profileWrote 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/dkharlanau/agent-ready-web-profile/arwp-portfolio-fleet)<a href="https://agentmods.dev/skills/dkharlanau/agent-ready-web-profile/arwp-portfolio-fleet"><img src="https://agentmods.dev/badge/skills/dkharlanau/agent-ready-web-profile/arwp-portfolio-fleet/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/dkharlanau/agent-ready-web-profile/arwp-portfolio-fleet"><img src="https://agentmods.dev/badge/skills/dkharlanau/agent-ready-web-profile/arwp-portfolio-fleet.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 | $0.00076 | $0.00519 |
| Opus 5.5 | $0.00030 | $0.00208 |
| Sonnet 5.5 | $0.00015 | $0.00104 |
| Haiku 4.5 | $0.00008 | $0.00052 |
Grade A, and why
arwp-portfolio-fleet 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
2 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.
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.
- 1mo ago Changed 026c9917b64c
- 1mo ago First seen · 27 lines · 76 tokens per session scan A bb0553d82f57
arwp-portfolio-fleet is a skill published in the GitHub repository dkharlanau/agent-ready-web-profile (0 stars, last pushed yesterday), with no licence file. It adds 76 tokens to every session and 519 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 2026-09-09.
Other skills, from other repositories
agentlas-operations
A set of operating procedures for running Agentlas, a system for coordinating agents, reusable workforces, automation graphs, and shared agent resources. It covers candidate selection, graph creation, asset discovery, and memory rules.
saleor-orders
Manage the Saleor order lifecycle — order creation, fulfillments, returns, refunds, draft orders, and order events. Use when working with Saleor orders.
crm-operations
Resolve and safely create/update demo CRM contacts, deals, activity notes and follow-up tasks with revision checks and an atomic audit trail. Use for business-object operations; do not clean spreadsheets, analyze business performance or send customer messages.
kanban-orchestrator
Decomposition playbook + anti-temptation rules for an orchestrator profile routing work through Kanban. The "don't do the work yourself" rule and the basic lifecycle are auto-injected into every kanban worker's system prompt; this skill is the deeper playbook when you're specifically playing the orchestrator role.
linear
Linear: manage issues, projects, teams via GraphQL + curl.
kanban-worker
Pitfalls, examples, and edge cases for Hermes Kanban workers. The lifecycle itself is auto-injected into every worker's system prompt as KANBANGUIDANCE (from agent/promptbuilder.py); this skill is what you load when you want deeper detail on specific scenarios.