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    Production Access Evidence Packet

    1

    Organize production-access records into a traceable evidence packet with Claude.

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    Production Access Evidence Packet

    Production Access Evidence Packet

    Example session with this skill installed

    Organize the evidence from ticket #402. The customer approved read-only access for 2 hours. Log shows a 4-hour session and one database update using a shared admin account. No MFA log found.

    • Read your context and instructions
    • Compiled the production access evidence

    1. Packet decision

    Decision: PARTIAL PRODUCTION-ACCESS EVIDENCE PACKET AVAILABLE.

    8. Gaps and conflicts

    G1 — Privilege Mismatch: Read-only approved vs database update performed.

    G2 — Duration: 2-hour approval vs 4-hour session.

    G3 — Attribution: Shared account used; human actor unidentified.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    The problem

    Assembling production access evidence for security reviews or audits is a manual, error-prone grind. Scattered logs, Slack approvals, and ticket timestamps often conflict, leaving gaps in the narrative of who did what and when.

    What it does

    • Reconstructs a traceable timeline of access requests, approvals, activity, and revocation.
    • Maps requested permissions against actual provisioned roles and executed commands.
    • Identifies gaps such as pre-approval activity, missing MFA, or unrevoked tokens.
    • Differentiates between customer approval, internal authority, and break-glass emergency access.
    • Generates a structured review packet with source registers and attribution maps.

    Why this beats prompting it yourself

    General-purpose prompts often conflate role removal with session termination or fail to maintain the distinction between a request and an approval. This skill enforces a neutral, evidence-based workflow that refuses to invent data or draw unauthorized compliance conclusions, ensuring the final packet stands up to professional review.

    Use cases

    • Generating a handoff packet for incident response or security postmortems.
    • Reconciling support team impersonation sessions with customer approvals.
    • Investigating privileged access gaps where shared accounts or contractors were used.
    • Pre-audit preparation to identify missing evidence before a formal compliance review.

    Known limitations

    This tool does not connect to live systems or identity providers. It relies entirely on logs and materials you provide via files or the Read tool.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Agents & Orchestration.

    Requires user-supplied logs or files. Cannot connect to live environments or IAM consoles. Does not make legal, compliance, or misconduct determinations.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

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    Security scan passed 3 months ago

    Permissions

    Read Files

    Permissions are limited to the active local workspace and are used to inspect user-supplied or local workspace files. The skill package does not require bundled credentials, unrestricted external network access, or automatic production changes.

    Listed3 months ago
    Updated9 days ago

    What's inside

    Frequently Asked Questions

    The skill takes your raw logs, Slack screenshots, and ticket exports to build a chronological, gap-detected evidence packet that reconciles what was requested against what actually happened during a production session.

    This skill is compatible with any AI agent capable of file reading and long-context processing, such as ChatGPT, Claude, or custom enterprise LLM interfaces.

    No, this skill operates as a 'bring your own data' tool; it does not require direct API access to your production environment or identity providers, ensuring a secure, air-gapped analysis workflow.

    You receive the specialized skill configuration, a detailed data-gathering guide to ensure you provide the right logs, and templates for the final evidence report.

    The skill identifies 'silent' risks like pre-approval activity, sessions that weren't properly revoked, and mismatches between the roles requested in a ticket versus the high-level permissions actually used.

    Updates are included with your purchase and are released periodically to account for new common log formats and evolving compliance standards for privileged access management.

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