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 commands/gxfn/wakeflow/reviewgit clone --depth 1 https://github.com/GxFn/WakeflowWhat 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 | $0.00017 | $0.00299 |
| Opus 5 | $0.00009 | $0.00150 |
| Sonnet 5 | $0.00003 | $0.00060 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
review 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 3d 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
Run one controller review step through the wakeflow-controller Skill.
- Confirm this is the demand's stamped Controller and resolve one exact current dispatch group.
- Call
wakeflow_review_pack operation=group. Inspect the strict current transport/result classification and every target-authored input. Historical or old-envelope results are trace only. - Independently inspect/rerun the evidence needed for the requirement. A result, Test report, or script success is not acceptance.
- When ready, call
wakeflow_reduce_results operation=createto create one exact pending ReviewCandidate. It is not a verdict. - Call
wakeflow_decide_review operation=decidewith one allowed decision: accept, rework, redesign, or blocked. Recompute and revalidate current authority; do not trust cached candidate fields. - Complete the demand only through
wakeflow_complete_demand operation=preview, followed by exactapplyafter reviewing its lifecycle plan. Archive remains a later whole-demand owner. - Report evidence, decision, residual risk, and next eligible step.
Use wakeflow_review_pack operation=trace only for evidence tracing. It never
provides a next-action authority or repairs corrupt transport.
$ARGUMENTS
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.
- 3d ago First seen · 29 lines · 17 tokens per session scan A 787d328d5aaf
review is a command published in the GitHub repository GxFn/Wakeflow (5 stars, last pushed 9d ago), licensed MIT. It adds 17 tokens to every session and 299 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 2026-08-31.
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