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 charles001-wong/autocode-flow --skill autocodegit clone --depth 1 https://github.com/charles001-wong/autocode-flowWrote 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/charles001-wong/autocode-flow/autocode)<a href="https://agentmods.dev/skills/charles001-wong/autocode-flow/autocode"><img src="https://agentmods.dev/badge/skills/charles001-wong/autocode-flow/autocode/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/charles001-wong/autocode-flow/autocode"><img src="https://agentmods.dev/badge/skills/charles001-wong/autocode-flow/autocode.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 | $0.00054 | $0.00364 |
| Opus 5 | $0.00027 | $0.00182 |
| Sonnet 5 | $0.00011 | $0.00073 |
| Haiku 4.5 | $0.00005 | $0.00036 |
Grade A, and why
autocode 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 8d 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
autocode — order-service Development Pipeline
Automated development workflow tailored for this Go project using go-zero.
Pipeline Stages
/plan → /tdd → /code → /test → /deploy
Quick Start
- Start a feature: Run
/planwith a description of what you want to build - Write tests first: Run
/tddto create test stubs based on the plan - Implement: Run
/codeor start coding — the agent follows project conventions - Verify: Run
/testto execute tests and check coverage - Deploy: Run
/deployto check deployment readiness
Project Context
| Property | Value |
|---|---|
| Language | Go |
| Framework | go-zero |
| Package Manager | go mod |
| Test Framework | go test |
| Test Command | go test ./... |
| Linter | golangci-lint |
| CI/CD | github-actions |
| Coverage Target | 80% |
Configuration
Full pipeline configuration is stored in config.json.
To reconfigure, run /autocode-new again or edit config.json directly.
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.
- 8d ago First seen · 47 lines · 54 tokens per session scan A 28c6ef6feb5e
autocode is a skill published in the GitHub repository charles001-wong/autocode-flow (2 stars, last pushed 6mo ago), licensed MIT. It adds 54 tokens to every session and 364 once invoked, about $0.0003 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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