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/thiientv/godmode/using-godmodenpx skills add thiientv/godmode --skill using-godmodegit clone --depth 1 https://github.com/thiientv/godmodeWrote 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/thiientv/godmode/using-godmode)<a href="https://agentmods.dev/skills/thiientv/godmode/using-godmode"><img src="https://agentmods.dev/badge/skills/thiientv/godmode/using-godmode.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 | $0.00091 | $0.01057 |
| Opus 5 | $0.00046 | $0.00528 |
| Sonnet 5 | $0.00018 | $0.00211 |
| Haiku 4.5 | $0.00009 | $0.00106 |
Grade A, and why
using-godmode 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 4d 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Using Godmode
Treat the catalog as a set of working agreements, not a command list. Choose the smallest set of skills that changes the outcome of the task, identify the current lifecycle state, then load the selected skill before acting on its responsibility.
Select by task state
First classify the task state and risk. Use the risk to decide how much of the lifecycle is justified; do not force a waterfall on trivial work.
DISCOVERY → DESIGN → PLANNING → IMPLEMENTATION → TESTING → REVIEW → VERIFICATION → RELEASE → DONE
- Ambiguous or consequential new work:
solution-design, thenimplementation-planning. - An approved plan:
plan-execution; addtest-driven-developmentwhen code behavior changes. - A bug, failure, regression, or unexplained result:
root-cause-debugging. - A code or configuration change ready for another set of eyes:
requesting-code-revieworreceiving-code-reviewas appropriate. - A completion claim:
completion-verification. - A visual or interaction change:
frontend-designorui-ux-review. - An unfamiliar or cross-cutting repository:
codebase-orientation. - A version-sensitive external decision:
technical-research. - A compatibility or state transition:
safe-migrations. - A production rollout:
release-engineering; active user impact switches ownership toincident-response. - A runnable public acceptance contract:
behavior-validation. - A prompt, skill, tool, or agent quality claim:
agent-evaluation. - Structural friction:
architecture-review; local behavior-preserving cleanup:code-simplification.
Add domain skills only when their boundary is present: API contracts, database schema, security risk, performance measurement, browser behavior, testing strategy, documentation decisions, observability, migration, release, architecture, or agent evaluation.
Risk proportionality
Use three practical levels:
- Low: focused local change; prefer the smallest useful skill set and one fresh verification check.
- Medium: behavior or integration change; include regression evidence and an appropriate review boundary.
- High/Critical: public API, migration, security-sensitive change, destructive operation, production impact, or consequential data change; collect stronger design, test, review, and completion evidence.
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.
- 4d ago First seen · 99 lines · 91 tokens per session scan A a7dce55d139a
using-godmode is a skill published in the GitHub repository thiientv/godmode (93 stars, last pushed 8d ago), licensed MIT. It adds 91 tokens to every session and 1,057 once invoked, about $0.0005 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 2026-08-30.
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