Borrowing it
Nothing to install: this file belongs to ffroliva/gflow-cli. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ffroliva/gflow-cli/develop/.claude/commands/gflow/predict.mdgit clone --depth 1 https://github.com/ffroliva/gflow-cliWrote 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/ffroliva/gflow-cli/predict)<a href="https://agentmods.dev/commands/ffroliva/gflow-cli/predict"><img src="https://agentmods.dev/badge/commands/ffroliva/gflow-cli/predict/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/commands/ffroliva/gflow-cli/predict"><img src="https://agentmods.dev/badge/commands/ffroliva/gflow-cli/predict.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 | $0.00062 | $0.00307 |
| Opus 5.5 | $0.00025 | $0.00123 |
| Sonnet 5.5 | $0.00012 | $0.00061 |
| Haiku 4.5 | $0.00006 | $0.00031 |
Grade A, and why
predict 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 1mo 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
/gflow:predict [proposal]
Read skills/predict/SKILL.md and follow its protocol now, passing $ARGUMENTS as the proposal description.
Do not call
Skill(skill="predict")— the repo'sskills/*/SKILL.mdfiles are plain Markdown, not registered as Skill-tool-invocable (only.claude/commands/gflow/*are). Invoking it errors withUnknown skill: predict. Read the file directly instead.
The skill at skills/predict/SKILL.md runs five independent expert personas
(Architect · Security/reCAPTCHA · Performance/Playwright · CLI UX · Devil's Advocate),
resolves conflicts, and returns a GO / CAUTION / STOP verdict with a confidence score.
Typical workflow after a GO or CAUTION:
/gflow:scenario <feature> → edge cases + BDD skeleton
/gflow:plan <feature> → writes PLAN.md task checklist
/gflow:status → surfaces next task during execution
/gflow:check → before each commit
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.
- 1mo ago First seen · 26 lines · 62 tokens per session scan A 2d5421c30a16
predict is a command published in the GitHub repository ffroliva/gflow-cli (337 stars, last pushed yesterday), licensed MIT. It adds 62 tokens to every session and 307 once invoked, about $0.0002 per session on Opus 5.5. 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 commands, from other repositories
lint
Check the project for naming, security and best-practice issues.
proposal
Create a structured feature proposal in docs/11-proposals/.
proposal-lint
Audit docs/11-proposals/ for status drift and convention violations.
fix-issue
Diagnose and fix a reported bug, with the evidence bar the PR checklist expects.
create-entity
Create a new entity in the domain model using MDL.
hatch3r-workflow
Guided development lifecycle with 4 phases (Analyze, Plan, Implement, Review) and scale-adaptive Quick Mode for small tasks; --plan-file executes an approved plan document without re-deriving it.