superpowers-learning-workflow

superpowers-learning-workflow is a skill for Codex from SYZ-Coder/superpowers-openspec-team-skills. It costs 36 tokens per session (1,042 once invoked), scanned A, original, MIT.

A workflow for recording useful lessons after a project task is finished. It stores lasting project facts, current status, decisions, failures, and reusable methods for later sessions.

In plain words
What is it for?
Use it to update project memory, document decisions, record verification rules, and capture patterns that may help future work.
Why use it?
It prevents important knowledge from disappearing when a session ends. It also helps avoid repeating the same mistakes.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: $skill-name invocation.

Good fit Use it to update project memory, document decisions, record verification rules, and capture patterns that may help future work.

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Install with agentmods
npx agentmods add skills/syz-coder/superpowers-openspec-team-skills/superpowers-learning-workflow
Install

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.

Any agent
npx skills add SYZ-Coder/superpowers-openspec-team-skills --skill superpowers-learning-workflow
Clone the repo
git clone --depth 1 https://github.com/SYZ-Coder/superpowers-openspec-team-skills

Made for: Codex.

Wrote 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.

agentmods badge for superpowers-learning-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/syz-coder/superpowers-openspec-team-skills/superpowers-learning-workflow.svg)](https://agentmods.dev/skills/syz-coder/superpowers-openspec-team-skills/superpowers-learning-workflow)
Your own site
<a href="https://agentmods.dev/skills/syz-coder/superpowers-openspec-team-skills/superpowers-learning-workflow"><img src="https://agentmods.dev/badge/skills/syz-coder/superpowers-openspec-team-skills/superpowers-learning-workflow.svg" alt="Measured on agentmods" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,042 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.01042
Opus 5 $0.00018 $0.00521
Sonnet 5 $0.00007 $0.00208
Haiku 4.5 $0.00004 $0.00104

Measured 8d ago against content hash ecfe91d68088, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

superpowers-learning-workflow 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.

team-skills/superpowers-learning-workflow/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Superpowers Learning Workflow

Overview

Use this workflow after meaningful work to capture what should survive the current session. It is a lightweight, repo-owned learning loop inspired by reflective agent systems, but scoped for safe use inside normal project workflows.

This is an explicit opt-in workflow. Do not use it by default. Only use it when the user explicitly asks for this workflow, names this skill, or a repository policy explicitly requires it.

Workflow

  1. Review the recent work, decisions, and verification evidence.
  2. Classify what was learned into four buckets:
    • durable project facts
    • current working state
    • session outcome
    • reusable method or repeated pitfall
  3. Add required metadata for durable entries:
    • id
    • status
    • confidence
    • source
    • last_updated
    • review_after Do not mark an entry as verified if source is empty.
  4. If .superpowers-memory/ exists, update:
    • PROJECT_CONTEXT.md for durable facts
    • CURRENT_STATE.md for active state
    • DECISIONS.md for lasting decisions
    • KNOWN_FAILURES.md for repeated failure patterns
    • VERIFICATION_BASELINE.md for trusted verification rules
    • TEAM_PREFERENCES.md for durable team agreements
    • USER_PROFILE.md for durable user preferences that are not project facts
    • AGENT_NOTES.md for durable execution reminders that are not project facts
    • session-journal/ for the session summary
    • LEARNING_BACKLOG.md for reusable patterns that may deserve future workflows or skills
  5. If .superpowers-memory/ does not exist, tell the user to install the memory scaffold or keep the learning summary in a normal project doc.
  6. Check whether any backlog item is strong enough to recommend promotion into a checklist, project rule, workflow step, script, or skill draft.
  7. Review .superpowers-memory/SESSION_CLOSE_CHECKLIST.md before finishing the learning capture.
  8. Use scripts/suggest-superpowers-memory-updates.ps1 if it is unclear which memory surfaces should be updated from the current session signals.
  9. Prefer scripts/run-superpowers-memory-closeout.ps1 as the standard closeout helper when you want one command to review the checklist, get update suggestions, and optionally run validation.
  10. When memory files were updated, run scripts/validate-superpowers-memory.ps1 and include the result in the summary.
  11. Use scripts/search-superpowers-memory.ps1 when you need to confirm whether a pattern already exists in durable memory or recent journals.
  12. Summarize what was learned and what, if anything, should become a future rule, checklist, script, or skill.

Read the full file on GitHub · 84 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 8d ago First seen · 84 lines · 36 tokens per session scan A ecfe91d68088

Subscribe to this mod's changes

superpowers-learning-workflow is a skill published in the GitHub repository SYZ-Coder/superpowers-openspec-team-skills (192 stars, last pushed 2mo ago), licensed MIT. It adds 36 tokens to every session and 1,042 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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