access-review SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
access-review from francostino/opencode-skills-collection is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add francostino/opencode-skills-collection/access-review@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- francostino/opencode-skills-collection
- Path
bundled-skills/access-review/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0, committed Sep 21, 2026
- Size
- 14,489 bytes
- Repository stars
- 87
- License
- MIT
Conduct periodic access reviews and certifications. Implement access.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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
```yaml
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:
…Read the whole file at its exact version.
How to install
mdr add francostino/opencode-skills-collection/access-review@sha256:8ea9088137ca9b9bThe line at the top of this page pins the label v1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_z247p23ap4hvurro)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 21, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (14489 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
francostino/opencode-skills-collection · 87 stars · license MIT · pushed 2026-10-18 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_z247p23ap4hvurro GET https://markdownregistry.com/api/v1/resolve?ref=francostino/opencode-skills-collection/access-review GET https://markdownregistry.com/api/v1/blob/8ea9088137ca9b9b15948d291f3ee43869212530dfaf8495f269c1ab19c8af58
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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