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 decision-logginggit 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/decision-logging)<a href="https://agentmods.dev/skills/paruff/ufawkesai/decision-logging"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/decision-logging/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/decision-logging"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/decision-logging.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 | $0.00030 | $0.00421 |
| Opus 5 | $0.00015 | $0.00211 |
| Sonnet 5 | $0.00006 | $0.00084 |
| Haiku 4.5 | $0.00003 | $0.00042 |
Grade A, and why
agent-decision-logging 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.
What it actually says
Skill: Agent Decision Logging
Load trigger:
"load agent-decision-logging skill"> DORA: Cap 6 (Reliability) Token cost: Low
Purpose
Record what agents decided and why. Enables post-hoc analysis of agent behavior patterns, decision trends, and identification of systematic biases.
Span Specification
agent.decision.made
Emit when the agent produces its final decision.
Attributes:
| Attribute | Type | Description |
|---|---|---|
decision |
string | Final decision (PASS/FAIL/BLOCKED/APPROVE/REQUEST_CHANGES/ESCALATE) |
blocker_count |
integer | Number of CRITICAL or HIGH severity findings |
finding_count |
integer | Total number of findings |
agent.name |
string | Agent that made this decision |
session_id |
string | Unique invocation identifier |
Decision Trend Analysis
| Trend | Meaning | Action |
|---|---|---|
| Increasing FAIL rate | Agents are stricter or quality is dropping | Investigate root cause |
| Decreasing FAIL rate | Agents are looser or quality is improving | Review if standards are slipping |
| Constant APPROVE rate | Agent may not be thorough | Review findings per invocation |
Integration
The decision and blockers fields in the Phase 0 invocation log are the source of truth.
The agent.decision.made span is the OTEL representation of those fields.
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 · 48 lines · 30 tokens per session scan A 5d5c3f641a66
agent-decision-logging is a skill published in the GitHub repository paruff/uFawkesAI (2 stars, last pushed 16d ago), licensed MIT. It adds 30 tokens to every session and 421 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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