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 commands/gmickel/flow-next/chartgit clone --depth 1 https://github.com/gmickel/flow-nextWrote 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/commands/gmickel/flow-next/chart)<a href="https://agentmods.dev/commands/gmickel/flow-next/chart"><img src="https://agentmods.dev/badge/commands/gmickel/flow-next/chart.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 | $0.00030 | $0.00160 |
| Opus 5 | $0.00015 | $0.00080 |
| Sonnet 5 | $0.00006 | $0.00032 |
| Haiku 4.5 | $0.00003 | $0.00016 |
Grade A, and why
chart 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 today.
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
IMPORTANT: This command MUST invoke the skill flow-next-chart
The ONLY purpose of this command is to call the flow-next-chart skill. You MUST use that skill now.
Arguments: $ARGUMENTS
Pass the arguments to the skill. The skill handles mode detection (chart / work / status / locator re-entry), bounded grounding, prompt-first operation inference, flowctl chart mutations, attended gates, and the terminal CHART_VERDICT= line.
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.
- today First seen · 14 lines · 30 tokens per session scan A 72c674d7979a
chart is a command published in the GitHub repository gmickel/flow-next (690 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 160 once invoked, about $0.0002 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 2026-09-03.
Other commands, from other repositories
make
Create structured implementation plan in docs/plans/.
speckit.checklist
Generate a custom checklist for the current feature based on user requirements.
speckit.clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
speckit.specify
Create or update the feature specification from a natural language feature description.
speckit.analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
speckit.implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.