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 skills/stellarshenson/claude-code-plugins/iteratenpx skills add stellarshenson/claude-code-plugins --skill iterategit clone --depth 1 https://github.com/stellarshenson/claude-code-pluginsWrote 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/skills/stellarshenson/claude-code-plugins/iterate)<a href="https://agentmods.dev/skills/stellarshenson/claude-code-plugins/iterate"><img src="https://agentmods.dev/badge/skills/stellarshenson/claude-code-plugins/iterate.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 | $0.00048 | $0.01075 |
| Opus 5 | $0.00024 | $0.00537 |
| Sonnet 5 | $0.00010 | $0.00215 |
| Haiku 4.5 | $0.00005 | $0.00108 |
Grade A, and why
iterate 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 3d 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Devil's Advocate - Iterate
One cycle: improve, version, score, rename with residual.
Task Tracking
MANDATORY: Use TaskCreate/TaskUpdate per step (decide, apply, score, finalize, update). Mark in_progress/completed.
Prerequisites: devils_advocate.md must have scorecard with top gaps. Otherwise run /devils-advocate:evaluate first.
Step 1: Decide how to improve
ASK:
"Top concerns by residual risk: [list top 5 from latest scorecard]
How to address them?
- Your suggestions - tell me what to change
- Auto-apply - I apply recommended options from scorecard
- Planning mode - discuss each concern before changing
- You already edited - skip to re-scoring (external edits)
Which? (or mix: 'auto for #1-3, discuss #4')"
Step 2: Apply changes + create version
If user chose 1, 2, or 3 (AI makes changes):
- Determine next version - scan existing
<name>_v*.md - Copy current as
<name>_v<NN>.md(no score suffix yet) - Apply changes:
- Mode 1: user's suggestions
- Mode 2: recommended options from top gaps
- Mode 3: agreed changes from planning
- Track concerns each change targets
- Track cross-concern tensions - some fixes break others: answering "why" may increase finger-pointing; adding evidence may increase verbosity; SOW quotes may increase defensive tone; brevity may drop supporting evidence; stronger language may improve facts but worsen tone
If user chose 4: skip to Step 3. User's document IS current state.
Step 3: Score
Re-read document in full.
ASK: "Score in-session or standalone (claude -p)?"
- In-session: score here, show reasoning
- Standalone: run via
claude -pwith persona + document
Per concern:
- Re-score 0-100% against current text
- Document: "Score X% -> Y% because [specific text change]"
- Add new concerns from changes
- Recalculate total residual
Step 4: Finalize version
If AI made changes (versioned copy exists):
- Embed scorecard at end:
--- ## Document Scorecard (Devil's Advocate) **Persona**: [devil role and key bias] **Score**: [total residual risk] (lower = better, max [total absolute risk]) | # | Concern | Risk | Score | Residual | How addressed | |---|---------|------|-------|----------|---------------| | 1 | [name] | [risk] | [0-100%] | [residual] | [specific text] |
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.
- 3d ago First seen · 109 lines · 48 tokens per session scan A eba8dfb9c0e7
iterate is a skill published in the GitHub repository stellarshenson/claude-code-plugins (3 stars, last pushed 4d ago), licensed MIT. It adds 48 tokens to every session and 1,075 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 2026-08-31.
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