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.
git clone --depth 1 https://github.com/timgranlundmarsden/claude-agent-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/commands/timgranlundmarsden/claude-agent-flow/plan)<a href="https://agentmods.dev/commands/timgranlundmarsden/claude-agent-flow/plan"><img src="https://agentmods.dev/badge/commands/timgranlundmarsden/claude-agent-flow/plan.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 | $0.00033 | $0.02812 |
| Opus 5 | $0.00016 | $0.01406 |
| Sonnet 5 | $0.00007 | $0.00562 |
| Haiku 4.5 | $0.00003 | $0.00281 |
Grade D, and why
plan scanned grade D with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Enumerates other installed skillsmediumAgent snooping
Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.
- [ ] Skills scanned (`ls .claude/skills/`), relevant ones suggested, confirmed via `AskUserQuestion` → `confirmed_skills` captured Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
If `REVIEW_EXIT` is non-zero or `REVIEW_OUTPUT` is empty/not valid JSON: `rm -rf "$PLAN_TMPDIR"`, note `Plan External Review: Skipped — external-review.sh failed (<first 200 chars of output>).` and proceed to Phase 4. Ot The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 6d ago First seen · 183 lines · 33 tokens per session scan D 17050600db3d
plan is a command published in the GitHub repository timgranlundmarsden/claude-agent-flow (2 stars, last pushed 3mo ago), with no licence file. It adds 33 tokens to every session and 2,812 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it D with 2 findings (enumerates other installed skills, recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
me-han-hu-revise
Revise an existing technical manuscript in Han Hu manuscript mode while preserving scientific evidence, figures, values, citations, and claim boundaries.
me-cfd-review
Review thermal-fluid CFD setup, boundary conditions, mesh, wall treatment, convergence, validation, and whether the claims are supported.
me-code-review
Perform a full thermal-fluid research-code review covering architecture, reproducibility, units, physics, interfaces, tests, and released artifacts.
me-code-sanity
Run a fast preflight on thermal-fluid research code for units, baselines, leakage, physics checks, and result traceability.
me-correlation-check
Check thermal-fluid equations, empirical correlations, and dimensionless groups for validity range, assumptions, units, and claim strength.
me-experiment-plan
Plan thermal-fluid experiments with instrumentation, calibration, uncertainty, repeatability, heat-loss correction, operating envelope, and safety checks.