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 ololand-ai/ololand-plugins --skill observability-audit-trailgit clone --depth 1 https://github.com/ololand-ai/ololand-pluginsWrote 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/ololand-ai/ololand-plugins/observability-audit-trail)<a href="https://agentmods.dev/skills/ololand-ai/ololand-plugins/observability-audit-trail"><img src="https://agentmods.dev/badge/skills/ololand-ai/ololand-plugins/observability-audit-trail/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/ololand-ai/ololand-plugins/observability-audit-trail"><img src="https://agentmods.dev/badge/skills/ololand-ai/ololand-plugins/observability-audit-trail.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 | $0.00076 | $0.01186 |
| Opus 5 | $0.00038 | $0.00593 |
| Sonnet 5 | $0.00015 | $0.00237 |
| Haiku 4.5 | $0.00008 | $0.00119 |
Grade A, and why
observability-audit-trail scanned grade A with 0 findings 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 5d ago.
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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Observability Audit Trail
OloLand's M1+M2 observability surface is what turns the marketing claim "verifiable end-to-end" from aspiration into shipping artifact. Every agent run produces immutable rows in agent_runs and agent_spans. Every generated artifact (CIM, IC memo, forensic PDF) gets a lineage row in output_artifacts. Every regulator-grade export is a tarball whose SHA-256 is recorded at generation time.
What is captured
| Table | What | Use |
|---|---|---|
agent_runs |
One row per top-level agent invocation. Captures root_prompt_snapshot, skill_pack_snapshot, subagent_definition_snapshot, model + harness versions, tokens, cost, status, grader verdict. |
The unit of replay. The unit of cost accounting. The unit the regulator wants. |
agent_spans |
One row per observable step inside a run — model call, tool call, compaction event, SSE event. Captures parent_span_id (tree structure), tool_name, model_version, latency_ms, is_error. | The "show me what actually happened" surface. |
output_artifacts |
One row per artifact produced (CIM PDF, IC memo, forensic screen). Captures content hash, lineage to the producing run. | Tamper-evidence on generated deliverables. |
regulator_exports |
Tarball metadata — framework, window, deal scope, SHA-256, signed-URL, expiry. | The deliverable for regulators / compliance reviewers. |
Role gating
Read paths (list_agent_runs, get_agent_run, list_agent_spans, get_grader_verdict, get_regulator_export) are tenant-scoped — any active member of the company can call them.
Write paths (replay_agent_run, request_regulator_export) require the admin or compliance role in the calling user's CompanyMember row, OR one of the privileged permissions (agent_runs, manage_agent_runs, replay_agent_runs, regulator_exports, manage_regulator_exports, compliance_exports). Superusers bypass the check globally.
Surfaced as error_code: "insufficient_role" on the MCP rail. If a user hits this and shouldn't, they need their company admin to grant the role on CompanyMember — not a new API key.
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.
- 5d ago First seen · 63 lines · 76 tokens per session scan A e29a1b654976
observability-audit-trail is a skill published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed 4d ago), licensed Apache-2.0. It adds 76 tokens to every session and 1,186 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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