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ai-sdlc-workflow: Command for Claude Code

.cursor/commands/skill-update.md

skill-update is a command for Claude Code, Cursor from phuoctrung-ppt/ai-sdlc-workflow. It costs 35 tokens per session (352 once invoked), scanned A, original, MIT.

A command that runs a full review of project retrospectives to look for repeated lessons and propose updates to the project's skills and memory files. A retrospective is a record of what went well, went wrong, or was learned during earlier work.

In plain words
What is it for?
Use it after project work when you want to inspect retrospectives, record durable decisions or gotchas, and prepare a skill-update proposal.
Why use it?
It turns recurring lessons into proposed guidance instead of leaving them buried in past notes. Proposed skill changes remain subject to approval before they are applied.

Command for Claude CodeCursor

Written for Cursor and Claude Code: installed under .cursor/, but also a Claude Code command (commands/*.md).

This is phuoctrung-ppt/ai-sdlc-workflow's own configuration. It tells Claude Code and Cursor how to work on ai-sdlc-workflow itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ai-sdlc-workflow configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 .cursor/context/context-builder.py \.

not rated 2repo 1mo ago A scan 35 tokens original MIT
View source ↗ phuoctrung-ppt/ai-sdlc-workflow
Reuse

Borrowing it

Nothing to install: this file belongs to phuoctrung-ppt/ai-sdlc-workflow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/phuoctrung-ppt/ai-sdlc-workflow/master/.cursor/commands/skill-update.md
Clone the repo
git clone --depth 1 https://github.com/phuoctrung-ppt/ai-sdlc-workflow

Made for: Claude Code, Cursor.

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.

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README.md
[![agentmods](https://agentmods.dev/badge/commands/phuoctrung-ppt/ai-sdlc-workflow/skill-update/github.svg)](https://agentmods.dev/commands/phuoctrung-ppt/ai-sdlc-workflow/skill-update)
Your own site
<a href="https://agentmods.dev/commands/phuoctrung-ppt/ai-sdlc-workflow/skill-update"><img src="https://agentmods.dev/badge/commands/phuoctrung-ppt/ai-sdlc-workflow/skill-update/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.

agentmods 80×15 button for skill-update

Your own site · 80×15
<a href="https://agentmods.dev/commands/phuoctrung-ppt/ai-sdlc-workflow/skill-update"><img src="https://agentmods.dev/badge/commands/phuoctrung-ppt/ai-sdlc-workflow/skill-update.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 352 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 $0.00035 $0.00352
Opus 5.5 $0.00014 $0.00141
Sonnet 5.5 $0.00007 $0.00070
Haiku 4.5 $0.00003 $0.00035

Measured 1mo ago against content hash 7896bb447704, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

skill-update 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.

.cursor/commands/skill-update.md · 43 lines

What it actually says

Skill Update (Learning Layer)

Act as Orchestrator. Dispatch the learning loop (does not implement product features).

Do not open .cursor/state/** or .aisdlc/*.json.

Steps

  1. Ensure Memory layer files exist:

    • docs/retrospective.md
    • docs/memory/decisions.md, gotchas.md, shortcuts.md

  2. Dispatch @learning-agent with an explicit full pass:

python3 .cursor/context/context-builder.py \
  --phase review \
  --task "skill update full pass from retrospective" \
  --agent learning-agent \
  --keywords "retrospective,pattern,skill,learning,gotcha,shortcut" \
  --budget 5000

  1. Agent must follow skill skill-updater:

    • Identify patterns from retrospective (≥2 signals)
    • Write proposal to docs/reviews/YYYY-MM-DD-skill-update-proposal.md or report no pattern
    • Update memory files when facts are durable
    • Do not apply SKILL.md patches until you approve

  2. Present proposal to human/orchestrator:

    • Approve → agent applies patch, marks APPLIED
    • Reject → leave PENDING or close with reason

Notes

  • This command is the explicit full Learning entrypoint.
  • /dev-module Phase 6 only does lightweight distillation + a short learning-agent scan.
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. 1mo ago First seen · 43 lines · 35 tokens per session scan A 7896bb447704

Subscribe to this mod's changes

skill-update is a command published in the GitHub repository phuoctrung-ppt/ai-sdlc-workflow (2 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 352 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 2026-08-31.

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