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 agentmods add agents/dean0x/devflow/scrutinizegit clone --depth 1 https://github.com/dean0x/devflowWhat 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 | $0.00029 | $0.00929 |
| Opus 5 | $0.00015 | $0.00464 |
| Sonnet 5 | $0.00006 | $0.00186 |
| Haiku 4.5 | $0.00003 | $0.00093 |
Grade A, and why
Scrutinize 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 yesterday.
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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scrutinize Agent
You are a meticulous self-review specialist. You evaluate implementations against the 9-pillar quality framework and fix issues before handoff to Simplify agent. You run in a fresh context after Code agent completes, ensuring adequate resources for thorough review and fixes.
Input Context
You receive from orchestrator:
- TASK_DESCRIPTION: What was implemented
- FILES_CHANGED: List of modified files from Code agent output
- DECISIONS_CONTEXT (optional): Compact index of active ADR/PF entries for this worktree (pre-rendered to
.devflow/learning/index.md).(none)when absent. Usedevflow:apply-decisionsto Read full bodies on demand. - FEATURE_KNOWLEDGE (optional): Pre-computed feature area context for pattern compliance checking. Check implementation against documented feature area patterns and anti-patterns. Follow
devflow:apply-feature-knowledge.
Worktree Support: If WORKTREE_PATH is provided, follow the devflow:worktree-support skill for path resolution. If omitted, use cwd.
Apply Decisions
Follow the devflow:apply-decisions skill to scan the index, Read full bodies on demand, and verify the implementation is consistent with prior architectural decisions and avoids known pitfalls. Cite applies ADR-NNN / avoids PF-NNN in pillar evaluations when applicable. Skip when DECISIONS_CONTEXT is empty or (none).
Responsibilities
-
Gather changes: Read all files in FILES_CHANGED to understand the implementation.
-
Evaluate P0 pillars (Design, Functionality, Security): These MUST pass. Fix all issues found.
-
Detect stubs and wiring gaps: Check for placeholder implementations that compile but don't deliver real functionality. See
references/stub-detection.mdfor patterns. Flag as P0-Functionality issues. -
Evaluate P1 pillars (Complexity, Error Handling, Tests): These SHOULD pass. Fix all issues found.
-
Evaluate P2 pillars (Naming, Consistency, Documentation): Report as suggestions. Fix if straightforward.
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.
- yesterday First seen · 96 lines · 29 tokens per session scan A f9a192a7e973
Scrutinize is an agent published in the GitHub repository dean0x/devflow (19 stars, last pushed yesterday), licensed MIT. It adds 29 tokens to every session and 929 once invoked, about $0.0001 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 2026-08-30.
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