What is allocate-resource?

A decision tool for handling a newly identified capability gap: deciding whether to design an AI agent or hire a person. It asks four yes-or-no questions and records the request and its outcome.

Use it when a department needs to do something it currently cannot, to produce an AI-agent recommendation or a human job specification.

It gives teams a repeatable way to evaluate work before committing to a hire or an AI solution. It also captures who requested the capability and how urgent it is for later review.

How Koroqe/OPOS configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to Koroqe/OPOS. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/Koroqe/OPOS/main/.claude/skills/allocate-resource/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/Koroqe/OPOS

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/koroqe/opos/allocate-resource/github.svg)](https://agentmods.dev/skills/koroqe/opos/allocate-resource)

Your own site

<a href="https://agentmods.dev/skills/koroqe/opos/allocate-resource"><img src="https://agentmods.dev/badge/skills/koroqe/opos/allocate-resource/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/koroqe/opos/allocate-resource"><img src="https://agentmods.dev/badge/skills/koroqe/opos/allocate-resource.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,861 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.

Model	Per session	Once invoked
Fable 5.1	$0.00061	$0.02861
Opus 5	$0.00030	$0.01430
Sonnet 5	$0.00012	$0.00572
Haiku 4.5	$0.00006	$0.00286

Measured 8d ago against content hash d3ec86d4202c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

allocate-resource 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 8d 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.

.claude/skills/allocate-resource/SKILL.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

allocate-resource

When to use

When ANY dept (or the founder) surfaces a capability gap and needs to decide: design an AI agent OR hire a human? Invoked as /allocate-resource with the gap description. Owner: people-lead. This is the AI-first kernel — the codified philosophy that EVERY gap is evaluated for AI suitability before human hire.

Typical invocation: a dept lead surfaces "we need to be able to do X" → people-lead runs allocate-resource → AI route emits a /design-agent recommendation OR human route writes a job spec to company/hiring/<slug>.md.

Inputs

capability_gap — free-text description of what the company needs to be able to do. Required. Minimum 20 chars (re-prompted if too vague).
urgency — optional: immediate | weeks | months. Used in the history entry for prioritization signal.
requested_by — optional: agent or dept name that surfaced the gap. Captured for the audit trail.

Path convention

Runs on the consumer's repo. All paths are rendered .md (no .jinja suffixes at this stage — same convention as company-setup and design-agent).

Steps

Lessons pass + provenance duty (v0.11, applies to every run). Before designing: read the company's kind: lesson backlog items (glob **/backlog/*.md, filter frontmatter kind: lesson) whose mistake_class/root_cause_target matches this skill or the artifact class it produces, plus this skill's own history/ entries with open proposed_deltas; apply every matching constraint to the draft and LIST the applied lessons in the proposal so the human sees the loop working. When writing the artifact: stamp provenance — frontmatter derived_from: <template>@<framework-version> + designed_by: <this-skill>@<its version> (framework version = .copier-answers.yml _commit; in the framework repo itself use the current release tag); charter files get the equivalent HTML comment stamp at file end.
Resolve repo root + parse capability_gap. Validate ≥20 chars; if too vague, re-prompt with: "Please describe the capability gap more specifically — at least one sentence about what the company needs to be able to do."

Read the full file on GitHub · 123 lines

Files

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.

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.

8d ago First seen · 123 lines · 61 tokens per session scan A d3ec86d4202c

Subscribe to this mod's changes

allocate-resource is a skill published in the GitHub repository Koroqe/OPOS (2 stars, last pushed 7d ago), licensed MIT. It adds 61 tokens to every session and 2,861 once invoked, about $0.0003 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.

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OPOS: Skill for Claude Code