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 workflows-plangit 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/workflows-plan)<a href="https://agentmods.dev/skills/kastalien-research/thoughtbox/workflows-plan"><img src="https://agentmods.dev/badge/skills/kastalien-research/thoughtbox/workflows-plan/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/workflows-plan"><img src="https://agentmods.dev/badge/skills/kastalien-research/thoughtbox/workflows-plan.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 | $0.00032 | $0.00990 |
| Opus 5.5 | $0.00013 | $0.00396 |
| Sonnet 5.5 | $0.00006 | $0.00198 |
| Haiku 4.5 | $0.00003 | $0.00099 |
Grade A, and why
workflows-plan 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create an implementation plan for: $ARGUMENTS
Purpose
You are executing Stage 3 (Planning) of the development workflow. The spec with frontmatter claims exists from Stage 2. Your job is to decompose the work into sub-agent-sized tasks, identify dependencies, and produce a plan file that Stage 4 can execute.
Pre-Conditions
Before starting, verify:
.workflow/state.jsonexists andcurrentStageis"planning"- A spec exists (check
stages.dev-docs.artifacts.specin state) - Spec frontmatter includes at least one claim (check
stages.dev-docs.artifacts.specin state)
If pre-conditions are not met, report what's missing and halt.
Process
Step 1: Gather Context
Read the spec (frontmatter + body) from Stage 2, then investigate the codebase:
- Read the spec: Understand what needs to be built
- Read spec claims: Understand falsifiable claims and required evidence
- Map the affected code: Use Glob/Grep to find files that will need changes
- Check for prior learnings: Search agent memory and compound learnings for relevant patterns
- Check existing tests: Identify test files that will need updates
Step 2: Decompose into Tasks
Break the implementation into discrete, sub-agent-sized units of work. Each task must be:
- Atomic: One task = one logical change = one commit
- Testable: Each task has clear acceptance criteria
- Ordered: Dependencies between tasks are explicit
For each task, define:
### Task N: <title>
**Files**: [list of files to create/modify]
**Depends on**: [task numbers, or "none"]
**Acceptance criteria**:
- [ ] [specific, verifiable condition]
- [ ] [specific, verifiable condition]
**Notes**: [implementation hints, gotchas from codebase investigation]
Step 3: Identify Risks
For each task, flag:
- Files with high churn or complexity
- Areas where the spec's assumptions may not hold
- External dependencies or integration points
- Tests that may need significant rework
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 · 150 lines · 32 tokens per session scan A 5dbb5cc34696
workflows-plan is a skill published in the GitHub repository Kastalien-Research/thoughtbox (65 stars, last pushed 3mo ago), licensed MIT. It adds 32 tokens to every session and 990 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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