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 jmagly/aiwg --skill aiwg-refreshgit clone --depth 1 https://github.com/jmagly/aiwgWrote 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/jmagly/aiwg/aiwg-refresh)<a href="https://agentmods.dev/skills/jmagly/aiwg/aiwg-refresh"><img src="https://agentmods.dev/badge/skills/jmagly/aiwg/aiwg-refresh/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/jmagly/aiwg/aiwg-refresh"><img src="https://agentmods.dev/badge/skills/jmagly/aiwg/aiwg-refresh.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 | $0.00020 | $0.02667 |
| Opus 5 | $0.00010 | $0.01333 |
| Sonnet 5 | $0.00004 | $0.00533 |
| Haiku 4.5 | $0.00002 | $0.00267 |
Grade C, and why
aiwg-refresh scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
| AIWG CLI not found | Error: "AIWG CLI not installed. Run: curl -fsSL ... \| bash" | Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| AIWG CLI not found | Error: "AIWG CLI not installed. Run: curl -fsSL ... \| bash" | How it starts
The opening of the file, as written. The whole thing — 367 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deterministic execution (#1267): this skill has a
script:entrypoint that shells out toaiwg refresh "$@". Preferaiwg run skill aiwg-refresh -- <flags>when a platform supports it; on platforms without a deployed command stub (e.g. hermes) invoke the CLI directly. The CLI owns the deterministic execution step: version/channel resolution, CLI update, framework redeploy, provider detection, and exit codes. The skill owns the agentic layer around that step: intent alignment, output formatting, workspace-state reconciliation, summary, next actions, gates, and recovery. Do not reimplement the refresh manually or add redundant permission prompts before calling the CLI for execution.
Refresh AIWG Deployment
Update the AIWG CLI and/or redeploy frameworks, agents, commands, and tools to the current project without leaving the agentic session.
Use Cases
- After AIWG updates: Get latest framework features without restarting
- After switching branches: Ensure deployed content matches expectations
- After manual edits: Restore canonical AIWG content
- Provider switch: Redeploy for different platform (Claude → Factory)
- Model selection: Redeploy with different AI models for each tier
Parameters
| Flag | Description |
|---|---|
--update-cli |
Update AIWG CLI to latest version before redeploying |
--all |
Redeploy all installed frameworks |
--sdlc |
Redeploy SDLC framework only |
--marketing |
Redeploy Marketing framework only |
--utils |
Redeploy aiwg-utils addon only |
--provider <name> |
Target platform: claude, factory, openai, cursor, warp (default: auto-detect) |
--reasoning-model <name> |
Override model for reasoning agents (opus tier) |
--coding-model <name> |
Override model for coding agents (sonnet tier) |
--efficiency-model <name> |
Override model for efficiency agents (haiku tier) |
--filter <pattern> |
Only deploy agents matching glob pattern (e.g., *architect*) |
--filter-role <role> |
Only deploy agents of specified role: reasoning, coding, efficiency |
--save |
Persist model selection to project models.json |
--force |
Force redeploy even if already up-to-date |
--dry-run |
Show what would be done without executing |
What ships with it
1 file 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.
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.
- 9d ago First seen · 367 lines · 20 tokens per session scan C ff3ee1c3cda1
aiwg-refresh is a skill published in the GitHub repository jmagly/aiwg (211 stars, last pushed yesterday), licensed MIT. It adds 20 tokens to every session and 2,667 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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