AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.
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 sickn33/agentic-awesome-skills --skill access-reviewgit clone --depth 1 https://github.com/sickn33/agentic-awesome-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/sickn33/agentic-awesome-skills/access-review)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/access-review"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/access-review/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/sickn33/agentic-awesome-skills/access-review"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/access-review.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 | $0.00025 | $0.02575 |
| Opus 5.5 | $0.00010 | $0.01030 |
| Sonnet 5.5 | $0.00005 | $0.00515 |
| Haiku 4.5 | $0.00003 | $0.00258 |
Grade A, and why
access-review scanned grade A with 1 finding 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 yesterday.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
SSWS tokens in curl arguments. Disable unexpected redirects, set deadlines and Copies of this mod
2 near-identical copies found in the catalogue:
- access-review — 100% identical, 207 lines differ
- access-review — 100% identical, 207 lines differ
How it starts
The opening of the file, as written. The whole thing — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Access Review
Implement periodic access review processes for AWS IAM, GitHub, Okta, and other identity providers, including automated reporting, certification workflows, and unused permission detection.
Access Review Process
access_review_workflow:
1_scope:
actions:
- Define systems in scope for the review cycle
- Identify review owners (managers, system owners)
- Set review timeline and deadlines
- Generate access inventory from all identity sources
frequency:
privileged_access: Quarterly
standard_access: Semi-annually
service_accounts: Quarterly
api_keys: Monthly
2_extract:
actions:
- Pull current access data from all systems
- Correlate identities across platforms (SSO mapping)
- Enrich with last login and activity data
- Flag accounts for review (inactive, over-privileged, orphaned)
3_review:
actions:
- Assign review items to appropriate managers
- Manager certifies each user's access (approve/revoke/modify)
- Risk-based prioritization (privileged users reviewed first)
- Escalate non-responses after deadline
decisions:
approve: "Access is appropriate for current role"
modify: "Access needs adjustment (reduce/change scope)"
revoke: "Access is no longer needed"
4_remediate:
actions:
- Revoke access flagged for removal
- Modify access as directed by reviewers
- Document exceptions with justification
- Confirm changes with system owners
sla:
revocations: "Complete within 5 business days of decision"
modifications: "Complete within 10 business days"
exceptions: "Approved by security team, documented, time-limited"
5_report:
actions:
- Generate completion metrics (% reviewed, % on time)
- Document all decisions and actions taken
- Archive evidence for compliance audits
- Identify process improvements for next cycle
Review boundaries
What ships with it
1 file 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.
- yesterday Changed · -83 lines 9efbe1049021
- 1mo ago First seen · 395 lines · 25 tokens per session scan A 8ea9088137ca
access-review is a skill published in the GitHub repository sickn33/agentic-awesome-skills (48,503 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 2,575 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-21.
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