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 skills add ProdaZhang/aigd --skill aigd-iterategit clone --depth 1 https://github.com/ProdaZhang/aigdWrote 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/prodazhang/aigd/aigd-iterate)<a href="https://agentmods.dev/skills/prodazhang/aigd/aigd-iterate"><img src="https://agentmods.dev/badge/skills/prodazhang/aigd/aigd-iterate/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/skills/prodazhang/aigd/aigd-iterate"><img src="https://agentmods.dev/badge/skills/prodazhang/aigd/aigd-iterate.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 | $0.00087 | $0.00775 |
| Opus 5.5 | $0.00035 | $0.00310 |
| Sonnet 5.5 | $0.00017 | $0.00155 |
| Haiku 4.5 | $0.00009 | $0.00077 |
Grade A, and why
aigd-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 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.
How it starts
The opening of the file, as written. The whole thing — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AIGD · iterate (playtest iteration) [minimal skeleton]
Package contract: install the whole
aigdpackage (the orchestratoraigd/+references/and the 6 sub-skills (including aigd-ui-capture) placed at the same level in this environment's skills directory, following the host agent, e.g. Claude Code's.claude/skills/), don't copy this skill alone — this package's sub-skills rely onaigd/at the same level to fetch the methodology, copying it alone breaks the link.
Positioning
Phase 3. Loops between system (2) ↔ iterate (3), repeatable. The design is still fluid, so only change rules / config (test data) / prototype — the proto/acceptance haven't even been produced yet, and zero churn is exactly the essence of how this step saves cost.
Read / produce / write back
- Read: this system in the
manifest, the user's playtest feedback. - Produce / change: rules.md / config table (test data) / system prototype.html.
- Write back: this system's status in the
manifest→Playtesting(currently playtesting; a system bounced back from handoff also staysPlaytesting, don't overwrite it back to Draft); record this round's iteration points (what changed, why).
Recipe
- Collect playtest feedback → locate whether it's a rule problem or a value problem.
- Change the corresponding artifact (rules → change -01, numbers → change config test data, presentation → change prototype).
- Re-emit the prototype → playtest again → loop, until the user is satisfied → move to
aigd-handoffto finalize.
Playtest-feedback format (filled by the user or the AI after playtesting, fed to this skill — the locating decides which artifact to change)
| Dimension | Problem description | Locating (rule/value/presentation/other) | Repro steps |
|---|---|---|---|
<e.g. combat pacing> |
<too long a wait after casting a skill> |
<value> |
<enter combat → tap skill → watch cooldown> |
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.
- 1mo ago First seen · 40 lines · 87 tokens per session scan A e69910061a1b
aigd-iterate is a skill published in the GitHub repository ProdaZhang/aigd (2 stars, last pushed 3mo ago), licensed MIT. It adds 87 tokens to every session and 775 once invoked, about $0.0003 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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