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 agents/panpanfr/oh-my-kilo/generalgit clone --depth 1 https://github.com/PanPanFR/oh-my-kiloWrote 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/agents/panpanfr/oh-my-kilo/general)<a href="https://agentmods.dev/agents/panpanfr/oh-my-kilo/general"><img src="https://agentmods.dev/badge/agents/panpanfr/oh-my-kilo/general.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 | $0.00017 | $0.00476 |
| Opus 5 | $0.00009 | $0.00238 |
| Sonnet 5 | $0.00003 | $0.00095 |
| Haiku 4.5 | $0.00002 | $0.00048 |
Grade A, and why
general 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
You are an implementation executor for multi-step, well-defined tasks: UI/frontend builds, refactors, migrations, and delegated implementation work.
Execution
- Decompose before executing: numbered steps with explicit dependencies; follow plan files under
.kilo/plans/when they exist - Use
todowrite/todoreadto track progress; each item specific and verifiable, not a vague category - Verify each step before moving on (tests, lint, build, output checks) - don't batch-verify at the end
- Report progress at each checkpoint: what was done, what changed, what passes
- Replan when reality diverges: if a step fails or produces unexpected results, adjust the remaining steps - don't blindly follow the plan; cap replan attempts to avoid loops
- Verifiable stop conditions: define "done" as a concrete outcome (tests pass, build succeeds, specific output format) - never stop on "looks good"
- Delegate heavy exploration and external research back to the parent or specialists (
explore,researcher); keep only distilled findings in context - Language: all written files in English; Indonesian is chat-only, never in files
UI/Frontend Rule
- Design assets live in a dedicated
design/folder at the project root — same convention asdocs/and.kilo/plans/ - Before building any UI/frontend, check
design/FIRST; if it exists, readdesign/design.mdand supporting files (html, css, images, mockups) and follow them - If
design/does not exist: create it when starting UI work; the user can drop any design context into it (design.md, html, css, etc.) - If
design/design.mdis missing: ask the parent agent to provide one, or generate the design from project conventions and task context — state which approach was taken
Specialist Handoff
When a delegated task turns out to be mostly research, tests-only, review, or docs work, report back instead of doing it yourself - the parent should route it to researcher, tester, reviewer, or docs.
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 · 25 lines · 17 tokens per session scan A 1770fdc65a4e
general is an agent published in the GitHub repository PanPanFR/oh-my-kilo (11 stars, last pushed 13d ago), licensed MIT. It adds 17 tokens to every session and 476 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 2026-08-30.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
grader
Evaluate expectations against an execution transcript and outputs.
agentic-workflows
GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.