Access Review logo

Access Review

Community
FrancoStino
access-review

Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.

Overview

PublisherFrancoStino
Repositoryopencode-skills-collection
Skill nameaccess-review
Stars
90
Forks
12
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by FrancoStino on GitHub. Read the source before you install it.

Installation

Install the Access Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/FrancoStino/opencode-skills-collection/tree/main/bundled-skills/access-review
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/FrancoStino/opencode-skills-collection.git /tmp/opencode-skills-collection
mkdir -p .claude/skills
cp -r /tmp/opencode-skills-collection/bundled-skills/access-review .claude/skills/access-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Access Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Access Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Access Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:
      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

AWS IAM Access Review Scripts

bash
#!/usr/bin/env bash
# aws-iam-review.sh - Comprehensive IAM access review report

OUTPUT_DIR="./access-review/$(date +%Y-%m)"
mkdir -p "$OUTPUT_DIR"

echo "=== AWS IAM Access Review ==="

# Generate credential report
aws iam generate-credential-report > /dev/null
sleep 10
aws iam get-credential-report --output text --query Content | \
  base64 -d > "$OUTPUT_DIR/credential-report.csv"

echo "--- Users Without MFA ---"
aws iam get-credential-report --output text --query Content | base64 -d | \ <!-- security-allowlist: documented payload decoding technique reference, do not execute outside authorized scope -->
  awk -F, 'NR>1 && $4=="true" && $8=="false" {print $1}' | \
  tee "$OUTPUT_DIR/users-without-mfa.txt"

echo "--- Inactive Users (90+ days) ---"
THRESHOLD=$(date -d '90 days ago' +%Y-%m-%dT%H:%M:%S 2>/dev/null || date -v-90d +%Y-%m-%dT%H:%M:%S)
aws iam get-credential-report --output text --query Content | base64 -d | \ <!-- security-allowlist: documented payload decoding technique reference, do not execute outside authorized scope -->
  awk -F, -v t="$THRESHOLD" 'NR>1 && $5!="N/A" && $5!="no_information" && $5<t {
    print $1","$5
  }' | tee "$OUTPUT_DIR/inactive-users.csv"

echo "--- Stale Access Keys (90+ days unused) ---"
for user in $(aws iam list-users --query 'Users[*].UserName' --output text); do
  for key_id in $(aws iam list-access-keys --user-name "$user" \
    --query 'AccessKeyMetadata[?Status==`Active`].AccessKeyId' --output text); do
    last_used=$(aws iam get-access-key-last-used --access-key-id "$key_id" \
      --query 'AccessKeyLastUsed.LastUsedDate' --output text)
    if [ "$last_used" = "None" ] || [ "$last_used" \< "$THRESHOLD" ]; then
      echo "$user,$key_id,$last_used"
    fi
  done
done | tee "$OUTPUT_DIR/stale-access-keys.csv"

echo "--- Users With Admin Policies ---"
for user in $(aws iam list-users --query 'Users[*].UserName' --output text); do
  policies=$(aws iam list-attached-user-policies --user-name "$user" \
    --query 'AttachedPolicies[*].PolicyName' --output text)
  if echo "$policies" | grep -qi "admin\|fullaccess"; then
    groups=$(aws iam list-groups-for-user --user-name "$user" \
      --query 'Groups[*].GroupName' --output text)
    echo "$user|policies:$policies|groups:$groups"
  fi
done | tee "$OUTPUT_DIR/admin-users.txt"

echo "--- IAM Roles With Cross-Account Trust ---"
for role in $(aws iam list-roles --query 'Roles[*].RoleName' --output text); do
  trust=$(aws iam get-role --role-name "$role" \
    --query 'Role.AssumeRolePolicyDocument' --output json 2>/dev/null)
  if echo "$trust" | grep -q '"AWS"' && echo "$trust" | grep -qv "$(aws sts get-caller-identity --query Account --output text)"; then
    echo "$role: $trust" | jq -c '.Statement[].Principal'
  fi
done | tee "$OUTPUT_DIR/cross-account-roles.txt"

echo "--- Service Accounts (Programmatic Only) ---"
aws iam get-credential-report --output text --query Content | base64 -d | \ <!-- security-allowlist: documented payload decoding technique reference, do not execute outside authorized scope -->
  awk -F, 'NR>1 && $4=="false" && $9!="N/A" {print $1","$11","$16}' | \
  tee "$OUTPUT_DIR/service-accounts.csv"

echo "Report generated in $OUTPUT_DIR"

GitHub Access Review

bash
#!/usr/bin/env bash
# github-access-review.sh - GitHub organization access audit

ORG="your-org"
OUTPUT_DIR="./access-review/github/$(date +%Y-%m)"
mkdir -p "$OUTPUT_DIR"

echo "=== GitHub Organization Access Review ==="

echo "--- Organization Members ---"
gh api orgs/$ORG/members --paginate \
  --jq '.[] | [.login, .site_admin] | @csv' \
  > "$OUTPUT_DIR/org-members.csv"

echo "--- Organization Owners ---"
gh api "orgs/$ORG/members?role=admin" --paginate \
  --jq '.[] | .login' \
  > "$OUTPUT_DIR/org-owners.txt"

echo "--- Outside Collaborators ---"
gh api orgs/$ORG/outside_collaborators --paginate \
  --jq '.[] | .login' \
  > "$OUTPUT_DIR/outside-collaborators.txt"

echo "--- Repository Access Per Repo ---"
for repo in $(gh repo list $ORG --json name -q '.[].name' --limit 500); do
  echo "Repo: $repo"
  gh api "repos/$ORG/$repo/collaborators" --paginate \
    --jq '.[] | [.login, .role_name] | @csv' \
    > "$OUTPUT_DIR/repo-$repo-access.csv" 2>/dev/null
done

echo "--- Team Memberships ---"
for team in $(gh api orgs/$ORG/teams --paginate --jq '.[].slug'); do
  echo "Team: $team"
  gh api "orgs/$ORG/teams/$team/members" --paginate \
    --jq '.[] | .login' \
    > "$OUTPUT_DIR/team-$team-members.txt"
done

echo "--- Pending Invitations ---"
gh api orgs/$ORG/invitations --paginate \
  --jq '.[] | [.login, .email, .role, .created_at] | @csv' \
  > "$OUTPUT_DIR/pending-invitations.csv"

echo "--- Deploy Keys ---"
for repo in $(gh repo list $ORG --json name -q '.[].name' --limit 500); do
  keys=$(gh api "repos/$ORG/$repo/keys" --jq '.[].title' 2>/dev/null)
  if [ -n "$keys" ]; then
    echo "$repo: $keys"
  fi
done > "$OUTPUT_DIR/deploy-keys.txt"

echo "--- Branch Protection Rules ---"
for repo in $(gh repo list $ORG --json name -q '.[].name' --limit 500); do
  protection=$(gh api "repos/$ORG/$repo/branches/main/protection" 2>/dev/null)
  if [ $? -eq 0 ]; then
    echo "$repo: protected"
    echo "$protection" | jq '{required_reviews: .required_pull_request_reviews.required_approving_review_count, dismiss_stale: .required_pull_request_reviews.dismiss_stale_reviews}' \
      > "$OUTPUT_DIR/branch-protection-$repo.json"
  else
    echo "$repo: NOT protected" >> "$OUTPUT_DIR/unprotected-repos.txt"
  fi
done

echo "Report generated in $OUTPUT_DIR"

Okta Access Review

bash
#!/usr/bin/env bash
# okta-access-review.sh - Okta user and application access audit
# Requires OKTA_DOMAIN and OKTA_API_TOKEN environment variables

OUTPUT_DIR="./access-review/okta/$(date +%Y-%m)"
mkdir -p "$OUTPUT_DIR"
BASE_URL="https://${OKTA_DOMAIN}/api/v1"

echo "=== Okta Access Review ==="

echo "--- Active Users ---"
curl -s -H "Authorization: SSWS $OKTA_API_TOKEN" \
  "$BASE_URL/users?filter=status+eq+%22ACTIVE%22&limit=200" | \
  jq -r '.[] | [.profile.email, .profile.firstName, .profile.lastName, .lastLogin, .created] | @csv' \
  > "$OUTPUT_DIR/active-users.csv"

echo "--- Suspended/Deprovisioned Users ---"
for status in SUSPENDED DEPROVISIONED; do
  curl -s -H "Authorization: SSWS $OKTA_API_TOKEN" \
    "$BASE_URL/users?filter=status+eq+%22$status%22&limit=200" | \
    jq -r '.[] | [.profile.email, .status, .statusChanged] | @csv'
done > "$OUTPUT_DIR/inactive-users.csv"

echo "--- Users Without MFA Enrolled ---"
curl -s -H "Authorization: SSWS $OKTA_API_TOKEN" \
  "$BASE_URL/users?limit=200" | \
  jq -r '.[] | .id' | while read -r uid; do
    factors=$(curl -s -H "Authorization: SSWS $OKTA_API_TOKEN" \
      "$BASE_URL/users/$uid/factors" | jq 'length')
    if [ "$factors" -eq 0 ]; then
      curl -s -H "Authorization: SSWS $OKTA_API_TOKEN" \
        "$BASE_URL/users/$uid" | jq -r '.profile.email'
    fi
  done > "$OUTPUT_DIR/users-without-mfa.txt"

echo "--- Application Assignments ---"
curl -s -H "Authorization: SSWS $OKTA_API_TOKEN" \
  "$BASE_URL/apps?limit=200" | \
  jq -r '.[] | [.id, .label, .status] | @csv' | while IFS=, read -r app_id app_name status; do
    echo "App: $app_name"
    curl -s -H "Authorization: SSWS $OKTA_API_TOKEN" \
      "$BASE_URL/apps/$app_id/users?limit=200" | \
      jq -r '.[] | [.credentials.userName // .profile.email, .status] | @csv'
  done > "$OUTPUT_DIR/app-assignments.csv"

echo "--- Admin Role Assignments ---"
curl -s -H "Authorization: SSWS $OKTA_API_TOKEN" \
  "$BASE_URL/users?limit=200" | \
  jq -r '.[] | .id' | while read -r uid; do
    roles=$(curl -s -H "Authorization: SSWS $OKTA_API_TOKEN" \
      "$BASE_URL/users/$uid/roles" | jq -r '.[].type' 2>/dev/null)
    if [ -n "$roles" ]; then
      email=$(curl -s -H "Authorization: SSWS $OKTA_API_TOKEN" \
        "$BASE_URL/users/$uid" | jq -r '.profile.email')
      echo "$email: $roles"
    fi
  done > "$OUTPUT_DIR/admin-roles.txt"

echo "Report generated in $OUTPUT_DIR"

Unused Permission Detection

python
"""
Detect unused IAM permissions using CloudTrail and IAM Access Analyzer.
Generates recommendations for right-sizing access.
"""
import boto3
import json
import time
from datetime import datetime, timedelta, timezone


def analyze_iam_usage(days_lookback=90):
    """Analyze IAM user and role activity against granted permissions."""
    iam = boto3.client("iam")

    report = {
        "generated_at": datetime.now(timezone.utc).isoformat(),
        "lookback_days": days_lookback,
        "findings": [],
    }

    users = iam.list_users()["Users"]
    for user in users:
        username = user["UserName"]

        # Get service last accessed data
        job_id = iam.generate_service_last_accessed_details(
            Arn=user["Arn"]
        )["JobId"]

        while True:
            result = iam.get_service_last_accessed_details(JobId=job_id)
            if result["JobStatus"] == "COMPLETED":
                break
            time.sleep(2)

        threshold = datetime.now(timezone.utc) - timedelta(days=days_lookback)
        unused_services = []

        for service in result["ServicesLastAccessed"]:
            last_accessed = service.get("LastAuthenticated")
            if last_accessed is None or last_accessed < threshold:
                unused_services.append({
                    "service": service["ServiceNamespace"],
                    "last_accessed": str(last_accessed) if last_accessed else "Never",
                })

        if unused_services:
            report["findings"].append({
                "type": "unused_permissions",
                "user": username,
                "arn": user["Arn"],
                "unused_service_count": len(unused_services),
                "unused_services": unused_services[:10],
                "recommendation": "Review and remove unused service permissions",
            })

    return report


def detect_overprivileged_roles():
    """Use IAM Access Analyzer to find overprivileged roles."""
    analyzer = boto3.client("accessanalyzer")

    findings = analyzer.list_findings(
        analyzerArn="arn:aws:access-analyzer:us-east-1:123456789012:analyzer/org-analyzer",
        filter={
            "status": {"eq": ["ACTIVE"]},
            "resourceType": {"eq": ["AWS::IAM::Role"]},
        },
    )

    return [
        {
            "resource": f["resource"],
            "resource_type": f["resourceType"],
            "condition": f.get("condition", {}),
            "principal": f.get("principal", {}),
            "action": f.get("action", []),
            "created_at": str(f["createdAt"]),
        }
        for f in findings.get("findings", [])
    ]

Contents

When to Use

  • Conducting quarterly or annual access reviews for compliance (SOC 2, HIPAA, PCI DSS, ISO 27001)
  • Identifying and removing stale accounts and unused credentials
  • Certifying that current access levels match job responsibilities
  • Detecting excessive privileges and dormant service accounts
  • Generating evidence for auditor requests on access governance

Limitations

  • Guidance and checklists only; not legal advice and not a substitute for a qualified auditor.
  • Docs-only import: upstream templates and scripts not bundled.

Example

markdown
Map this skill's control checklist to our current evidence and list gaps.

Adapted from BagelHole/DevOps-Security-Agent-Skills (MIT); frontmatter, When to Use/Limitations, and safety boundaries added for upstream compliance. Docs-only import: helper scripts and templates not bundled.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Access Review AI skill do?

Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.

Why use Access Review on TypingMind?

Because you install it once and use it with any model. Access Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Access Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/FrancoStino/opencode-skills-collection/tree/main/bundled-skills/access-review. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Access Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Access Review?

As many as you like. As long as a model supports skills, you can use Access Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Access Review AI skill free?

Yes. It is published on GitHub by FrancoStino under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇