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 agentmods add commands/nguyenvanphituoc/shapeup-sdlc-plugin/retrogit clone --depth 1 https://github.com/nguyenvanphituoc/shapeup-sdlc-pluginWrote 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/nguyenvanphituoc/shapeup-sdlc-plugin/retro)<a href="https://agentmods.dev/commands/nguyenvanphituoc/shapeup-sdlc-plugin/retro"><img src="https://agentmods.dev/badge/commands/nguyenvanphituoc/shapeup-sdlc-plugin/retro.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 | $0.00016 | $0.00171 |
| Opus 5 | $0.00008 | $0.00086 |
| Sonnet 5 | $0.00003 | $0.00034 |
| Haiku 4.5 | $0.00002 | $0.00017 |
Grade A, and why
retro 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 5d 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.
What it actually says
Use the coach skill on $ARGUMENTS.
Turns raw PO/TL feedback (usually from the L4 Ship gate) into per-skill guideline files under
committed shapeup/knowledge-base/<skill>.md, which the coachable skills read back at
the top of their next run.
Two rules the skill enforces and this command must not soften: GATE COACH-1 asks the PO
which skill owns each rule — it never assumes; and feedback whose root cause is the mechanism
itself (a gate, hook, or contract defect) is categorized harness-defect and filed to the
defect register as a raw idea for the Betting Table, never as worker steering.
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.
- 5d ago First seen · 14 lines · 16 tokens per session scan A 8c5aa13dad11
retro is a command published in the GitHub repository nguyenvanphituoc/shapeup-sdlc-plugin (2 stars, last pushed yesterday), licensed MIT. It adds 16 tokens to every session and 171 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
project
Generate project documentation (product.md, structure.md, tech.md, codemaps/).
toh-help
Display all Toh Framework commands and quick usage guide.
new
Plan mode. Generates a plan for a feature based on a description.
feature
Create a feature specification using spec-driven development.
deep-audit.skeleton
Aciklama: Bu bolum Bootstrap tarafindan manifest verileriyle doldurulur. Gerekli manifest alanlari: project.description, stack.primary, project.structure, project.subprojects, stack.orm, stack.authmethod Ornek cikti.
fix-issue
!gh issue view $ARGUMENTS 2>/dev/null || echo "Could not fetch issue $ARGUMENTS".