Start from the real job
Give the skill the files, repository, or context your work already uses; it begins by inspecting the actual situation.
Release candidate · v0.2.0
Analyze coding-agent sessions for cost, latency, failures, and anomalies.
Analyze coding-agent sessions for cost, latency, failures, and anomalies. Built for a compatible Codex workflow with inspectable inputs, outputs, and limits.
For teams that need repeatable evidence before release who need to audit local ai coding-agent sessions with agenttrace.
AI Agent Session Auditor
$19
one-time focused skill. Includes the complete buyer package, version 0.2.0, and the update/support terms shown on this page.
Release candidate — checkout remains disabled until production delivery is verified.
The problem
When the work is consequential, a one-off prompt leaves too much to interpretation. AI Agent Session Auditor turns audit local ai coding-agent sessions with agenttrace into a documented workflow with boundaries and a reviewable result.
Built for
For teams that need repeatable evidence before release who need to audit local ai coding-agent sessions with agenttrace.
Campaign angle: AI Agent Session Auditor: Analyze coding-agent sessions for cost, latency, failures, and anomalies.
The mechanism
A repeatable path from request to verified result
See the decision path
Follow a documented sequence with explicit checks, boundaries, and a result you can review before acting.
Keep control at the edge
The package states what it cannot know, what remains human-owned, and which external costs or accounts are separate.
Test evidence
What the package has already proved
Passed structural, secret, safety-boundary, package-integrity, and adversarial-case checks as a release candidate.
Verified behaviors
- Handles a representative success case
- Stops when required input is missing
- Detects an incompatible environment
- Codex-native skill
- External tools, accounts, and usage costs are separate
Included
- Codex-native skill
- Attributed domain reference
- Combined installation and quick-start README
- Useful example request
Objection handling
Know the boundary before you buy.
Will the checks reflect my real failure modes?
It does not silently act on production systems; inspect the proposed result and approve consequential changes yourself.
Will setup take too long?
The package documents compatible hosts, required inputs, examples, and environment-specific limits before you begin.
Can I reproduce the result?
Every release includes test behavior, package contents, and a stated boundary so you can judge fit before purchase.
Limitations and attribution
- External tools, accounts, and usage costs are separate
- Release candidate checkout is disabled
- Environment-specific behavior must be verified
Planned one-person or one-business internal-use license.
Adapted from luoyuctl/agenttrace under MIT.
Release candidate
Put ai agent session auditor on a repeatable footing.
one-time focused skill. Includes the complete buyer package, version 0.2.0, and the update/support terms shown on this page.
One-time price
$19
No subscription or product per-run fee. Host usage is separate.
Product FAQ
Know what you are buying
Is checkout available?
Not yet. This release candidate must complete production delivery verification before purchase is enabled.