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 paruff/uFawkesAI --skill agent-observabilitygit clone --depth 1 https://github.com/paruff/uFawkesAIWrote 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/paruff/ufawkesai/agent-observability)<a href="https://agentmods.dev/skills/paruff/ufawkesai/agent-observability"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/agent-observability/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/paruff/ufawkesai/agent-observability"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/agent-observability.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 | $0.00038 | $0.00588 |
| Opus 5 | $0.00019 | $0.00294 |
| Sonnet 5 | $0.00008 | $0.00118 |
| Haiku 4.5 | $0.00004 | $0.00059 |
Grade A, and why
agent-observability 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 8d 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 — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Agent Observability
Load trigger:
"load agent-observability skill"> DORA: Cap 2 (Observability) + Cap 6 (Reliability) Token cost: Low
Purpose
Instrument the agent system itself with the same observability standards applied to application code. Agent actions become observable, measurable, and improvable.
Agent Telemetry Span Types
| Span Name | When to Emit | Attributes |
|---|---|---|
agent.invocation.started |
Agent begins its task | agent.name, session_id, mode |
agent.skill.loaded |
Skill file is loaded for context | skill.name, skill.domain |
agent.finding.produced |
A finding is identified | severity, category, actionable, manual_review_needed |
agent.decision.made |
Agent produces its final decision | decision, blocker_count, finding_count |
agent.invocation.completed |
Agent finishes its task | duration_ms, total_skills_loaded, total_findings |
agent.invocation.failed |
Agent encounters an error | error, stage |
Relation to Phase 0 Logging
Phase 0 logs (.agents/logs/YYYY-MM-DD.jsonl) are the data source. Agent telemetry spans are the OTEL representation of the same events.
Mapping:
agent.invocation.started+agent.invocation.completed→ one log entryagent.skill.loaded→skills_loaded[]array in log entryagent.finding.produced→ each item infindings[]arrayagent.decision.made→decisionandblockersfields
Sub-Skills
| Skill | Purpose |
|---|---|
agent-observability/invocation-tracking |
Track agent start, completion, and duration |
agent-observability/skill-load-events |
Track which skills are loaded and how often |
agent-observability/finding-quality |
Measure finding actionability and accuracy |
agent-observability/decision-logging |
Log agent decisions for post-hoc analysis |
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 50 lines · 38 tokens per session scan A f719c0636e55
agent-observability is a skill published in the GitHub repository paruff/uFawkesAI (2 stars, last pushed 16d ago), licensed MIT. It adds 38 tokens to every session and 588 once invoked, about $0.0002 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 2026-08-31.
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