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.
git clone --depth 1 https://github.com/J-Pster/Psters_AI_WorkflowWrote 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/commands/j-pster/psters_ai_workflow/pwf-work)<a href="https://agentmods.dev/commands/j-pster/psters_ai_workflow/pwf-work"><img src="https://agentmods.dev/badge/commands/j-pster/psters_ai_workflow/pwf-work.svg" alt="Measured on agentmods" 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 | $0.00039 | $0.02228 |
| Opus 5 | $0.00019 | $0.01114 |
| Sonnet 5 | $0.00008 | $0.00446 |
| Haiku 4.5 | $0.00004 | $0.00223 |
Grade A, and why
pwf-work scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Execute Unplanned Work (Fast Path)
Use this command for small fixes, minor adjustments, and focused tasks outside formal plans. For phase execution from docs/plans/, use /pwf-work-plan.
Apply skills/using-psters-workflow/SKILL.md at start.
Documentation Intent (Read This First)
Documentation in docs/ is operational memory for future AI and engineers, not a release note.
Every documentation update must help a future implementation answer quickly:
- Where is the source of truth?
- What is implemented now vs only planned?
- Which invariants/rules cannot be broken?
- Which files/methods must change together?
- What are the known gotchas and safe change steps?
Avoid generic text that could apply to any project.
⛔ MANDATORY WORKFLOW — NEVER SKIP ANY STEP
You MUST execute steps 1 through 6 IN ORDER. Do NOT jump to implementation. Your FIRST action must be reading documentation (Step 1), NOT editing code. If you skip Step 1 or Step 5, the workflow is BROKEN.
Input
<work_description> #$ARGUMENTS </work_description>
If empty, ask: "What would you like me to work on?"
Step 1: Research (BLOCKING — must complete before any code changes)
Your first tool calls MUST be Read calls to load documentation. Do NOT start implementing.
Before Step 1 execution details, resolve extension guidance for before_work:
node ${CURSOR_PLUGIN_ROOT}/scripts/resolve-workflow-extensions.mjs before_work
-
If the description is vague, ask one or two clarifying questions first.
-
Classify scope first (trivial vs non-trivial):
- Trivial: <=2 files, no entities/migrations/endpoints/auth model changes.
- If trivial, use lightweight path:
- read only
docs/solutions/patterns/critical-patterns.md(if exists) and directly relevant doc, - skip mandatory research-agent spawning,
- keep focused implementation + verification evidence.
- read only
- If non-trivial, follow full workflow below.
-
Load docs baseline via skill (REQUIRED):
- Apply
skills/docs-baseline-loading/SKILL.md. - Read mandatory baseline docs before implementation.
- Create any missing canonical baseline docs immediately using the skill's required minimum sections.
- Then read scope-specific docs:
docs/solutions/patterns/critical-patterns.md(if exists)docs/modules/<module>.md(backend scope)docs/features/<feature>.md(frontend scope)docs/lambdas/<repo>.md(Lambda scope)docs/runbooks/README.md(operational/deploy scope)
- Search
docs/solutions/by feature keywords for known gotchas. - If any other expected doc file is missing: create it immediately with a useful baseline (not placeholders). Minimum sections:
Purpose(business scope)Source of Truth Files(exact paths)Current Implementation Snapshot(what exists now)Planned/Upcoming Contract(only if plan exists; clearly marked as planned)Invariants and GotchasSafe Change Checklist for Future AI WorkRelated Plan and Docs
- Apply
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 · 214 lines · 39 tokens per session scan A 85cdba922815
pwf-work is a command published in the GitHub repository J-Pster/Psters_AI_Workflow (289 stars, last pushed 5mo ago), licensed MIT. It adds 39 tokens to every session and 2,228 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 2026-08-30.
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context
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spec-research
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