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 AnthonyAlcaraz/agentic-graph-rag-skills --skill capability-authorization-gategit clone --depth 1 https://github.com/AnthonyAlcaraz/agentic-graph-rag-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/anthonyalcaraz/agentic-graph-rag-skills/capability-authorization-gate)<a href="https://agentmods.dev/skills/anthonyalcaraz/agentic-graph-rag-skills/capability-authorization-gate"><img src="https://agentmods.dev/badge/skills/anthonyalcaraz/agentic-graph-rag-skills/capability-authorization-gate/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/anthonyalcaraz/agentic-graph-rag-skills/capability-authorization-gate"><img src="https://agentmods.dev/badge/skills/anthonyalcaraz/agentic-graph-rag-skills/capability-authorization-gate.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 | $0.00213 | $0.02232 |
| Opus 5.5 | $0.00085 | $0.00893 |
| Sonnet 5.5 | $0.00043 | $0.00446 |
| Haiku 4.5 | $0.00021 | $0.00223 |
Grade A, and why
capability-authorization-gate 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Capability Authorization Gate
Overview
Self-aware agents must understand their own capabilities and limitations. The
Capability Model Pattern (Ch3, Example 3-5) makes operational parameters
explicit, queryable structure: each capability declares what it requires, an
authorization-level, and an optional quantitative limit. During planning the
agent determines whether it has the access, authorization, and headroom to
fulfill a request before attempting it — and routes/escalates when it does
not.
The chapter's worked example: a Customer-Support-Agent can
Answer-Product-Question (Public, needs only Product-Knowledge) but
Process-Refund requires Supervisor authorization, Financial-System-Access, and
caps at 500 USD. A 600-USD refund must be recognized as exceeding authority and
routed appropriately — "creating more reliable, trustworthy automation with
appropriate human oversight" — instead of attempting a prohibited action.
The gate returns three decisions:
- allow — capability declared, granted auth level >= required, all required resources present, amount (if any) within limit.
- escalate — the agent itself cannot, but a higher authority could: authorization too low, a required grant missing, or the amount over the limit. This is the "route appropriately" path.
- deny — the capability is undeclared. The agent has no such ability at all.
The DevOps manifestation (anchored in fictional AWS account 123456789012):
capabilities like read_metrics (Public), query_logs (User),
restart_instance (Supervisor + ec2:write), and scale_autoscaling_group
(Supervisor, limit 10 instances) become the queryable authority model that gates
tool orchestration in Ch6. A User-level latency investigator can read metrics
and logs but escalates a restart or an over-limit scale.
When to Use
- An agent must decide "can I do this?" before invoking a tool or taking an action
- Modeling agent operational boundaries (authority, required grants, limits)
- Building the queryable authority layer that gates tool orchestration (Ch6)
- Implementing graceful escalation/routing instead of attempting prohibited actions
What ships with it
3 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.
- 2mo ago First seen · 157 lines · 213 tokens per session scan A 0c2ea017c725
capability-authorization-gate is a skill published in the GitHub repository AnthonyAlcaraz/agentic-graph-rag-skills (28 stars, last pushed 3mo ago), licensed MIT. It adds 213 tokens to every session and 2,232 once invoked, about $0.0009 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-authorization-gate compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| capability-authorization-gateAnthonyAlcaraz/agentic-graph-rag-skills | Skill | 28 | 3mo ago | MIT | A | 213 | Claude Code, Codex |
| graphifyGraphify-Labs/graphify | Skill | 143k | yesterday | Apache-2.0 | B | 76 | Claude Code, Codex |
| hugegraph-data-importerapache/hugegraph-ai | Skill | 145 | yesterday | Apache-2.0 | A | 62 | Codex |
| hugegraph-schema-designerapache/hugegraph-ai | Skill | 145 | yesterday | Apache-2.0 | A | 51 | Codex |
| hugegraph-query-analystapache/hugegraph-ai | Skill | 145 | yesterday | Apache-2.0 | A | 49 | Codex |
| lemmalogJordyZomer/lemmalog | Skill | 346 | 1mo ago | MIT | A | 105 | Claude Code, Codex |
| jurisd-researchrussellbrenner/jurisd | Skill | 43 | 2d ago | Apache-2.0 | A | 133 | Claude Code, Codex |