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 Kastalien-Research/thoughtbox --skill workflow-revisiongit clone --depth 1 https://github.com/Kastalien-Research/thoughtboxWrote 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/kastalien-research/thoughtbox/workflow-revision)<a href="https://agentmods.dev/skills/kastalien-research/thoughtbox/workflow-revision"><img src="https://agentmods.dev/badge/skills/kastalien-research/thoughtbox/workflow-revision/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/kastalien-research/thoughtbox/workflow-revision"><img src="https://agentmods.dev/badge/skills/kastalien-research/thoughtbox/workflow-revision.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00026 | $0.01211 |
| Opus 5.5 | $0.00010 | $0.00484 |
| Sonnet 5.5 | $0.00005 | $0.00242 |
| Haiku 4.5 | $0.00003 | $0.00121 |
Grade A, and why
workflow-revision 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 1mo 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Execute revision based on review findings: $ARGUMENTS
Purpose
You are executing Stage 6 (Revision) of the development workflow. Review found issues with the implementation. Your job is to dispatch sub-agents to fix them, then re-run review until it passes — or escalate after 3 iterations.
Pre-Conditions
Before starting, verify:
.workflow/state.jsonexists andcurrentStageis"revision"- Review findings exist (either passed as argument or in
stages.review.artifacts.findings) - The working tree has uncommitted changes from implementation (since commits happen post-review)
Process
Step 1: Classify Review Findings
Read the review findings and classify each into:
| Category | Action | Example |
|---|---|---|
| Claim failure | Re-dispatch sub-agent for the specific claim | "Function X does not handle case Y" |
| Test gap | Add missing test coverage | "No test for edge case Z" |
| Spec divergence | Fix code OR update spec (with justification) | "Implementation differs from spec section 3.2" |
| ADR conflict | Flag for user decision | "This contradicts accepted ADR-005" |
| Style/quality | Fix inline (no sub-agent needed) | "Missing error handling on line 42" |
Step 2: Dispatch Fixes
For each finding that requires a sub-agent:
- Dispatch a sub-agent with:
- The specific finding to address
- The relevant spec section
- The file(s) to modify
- Instructions to return the structured summary format (from the conductor skill)
- Persist the returned summary to disk immediately
For findings that can be fixed inline (style/quality):
- Make the fix directly
- Note it in the revision log
For ADR conflicts:
- Present to the user with the four ADR reconciliation dispositions:
- STILL VALID — false positive, ADR reasoning holds
- NEEDS AMENDMENT — core decision correct, context needs updating
- SUPERSEDED — another ADR has replaced this one
- INVALIDATED — reasoning no longer holds, no replacement
- Wait for user decision before proceeding
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.
- 1mo ago First seen · 145 lines · 26 tokens per session scan A 88a9b89334c3
workflow-revision is a skill published in the GitHub repository Kastalien-Research/thoughtbox (65 stars, last pushed 3mo ago), licensed MIT. It adds 26 tokens to every session and 1,211 once invoked, about $0.0001 per session on Opus 5.5. 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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