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-plan)<a href="https://agentmods.dev/commands/j-pster/psters_ai_workflow/pwf-work-plan"><img src="https://agentmods.dev/badge/commands/j-pster/psters_ai_workflow/pwf-work-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/commands/j-pster/psters_ai_workflow/pwf-work-plan"><img src="https://agentmods.dev/badge/commands/j-pster/psters_ai_workflow/pwf-work-plan.svg" alt="Reviewed on agentmods" width="80" 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 | $0.01972 |
| Opus 5 | $0.00019 | $0.00986 |
| Sonnet 5 | $0.00008 | $0.00394 |
| Haiku 4.5 | $0.00004 | $0.00197 |
Grade A, and why
pwf-work-plan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Step 3 — Execute One Planned Phase
Use this command to execute one phase from docs/plans/ with full discipline: read docs first, implement, build, and update docs.
Apply skills/using-psters-workflow/SKILL.md at start.
Documentation Intent (Read This First)
Docs updated during /pwf-work-plan must become reliable implementation memory for future phases and future AI runs.
Do not write generic summaries. Document:
- what is already implemented in code after this phase,
- what remains planned in later phases,
- where to edit safely next time,
- and which constraints must not be violated.
⛔ MANDATORY WORKFLOW — NEVER SKIP ANY STEP
You MUST execute steps 1 through 5 IN ORDER. Do NOT jump to implementation. Your FIRST action must be reading the plan file and documentation (Step 1), NOT editing code. If you skip Step 1 or Step 4, the workflow is BROKEN.
Input
<plan_input> #$ARGUMENTS </pwf-plan_input>
If empty or not pointing to a plan file, ask: "Which plan file? (e.g. docs/plans/20260312-feat-xyz-plan.md)"
Step 1: Load Context (BLOCKING — must complete before any code changes)
Your first tool calls MUST be Read calls. Do NOT start implementing.
Before Step 1 execution details, resolve extension guidance for before_work_plan:
node ${CURSOR_PLUGIN_ROOT}/scripts/resolve-workflow-extensions.mjs before_work_plan
-
Read the plan file fully.
- Validate task format in target phase:
- [ ] T### [P?] [USx?] Description with file path
- If format is inconsistent, normalize the phase task list before execution (or ask user to run
/pwf-planrefinement).
- Validate task format in target phase:
-
Identify the target phase — first ⬜ Pending phase, or the one specified by the user. If the argument names a phase number (e.g. "Phase 2"), start at that phase.
-
Load docs baseline via skill (REQUIRED):
- Apply
skills/docs-baseline-loading/SKILL.md. - Read mandatory baseline docs before implementation.
- Create missing canonical baseline docs immediately using the skill's required minimum sections.
- Then read phase-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)- relevant
docs/solutions/entries by feature keywords
- If any other expected doc file is missing: create it immediately with a useful baseline. Minimum sections:
PurposeSource of Truth FilesCurrent Implementation SnapshotPhase Scope (Current Plan)with explicitplannedmarkersInvariants 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.
- 9d ago First seen · 194 lines · 39 tokens per session scan A bc28a772b504
pwf-work-plan 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 1,972 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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