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/frehu/claude-maintainability-review/dump-workflowgit clone --depth 1 https://github.com/FreHu/claude-maintainability-reviewWrote 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/frehu/claude-maintainability-review/dump-workflow)<a href="https://agentmods.dev/commands/frehu/claude-maintainability-review/dump-workflow"><img src="https://agentmods.dev/badge/commands/frehu/claude-maintainability-review/dump-workflow.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 | $0.00021 | $0.00306 |
| Opus 5 | $0.00010 | $0.00153 |
| Sonnet 5 | $0.00004 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
dump-workflow 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
Run the workflow-dump helper to recover a Workflow run's per-agent results as one markdown file per agent (plus an index). This reads the run's journal.jsonl and renders it deterministically — no model re-synthesis — so findings survive even if the final Report step crashed (e.g. a 529).
Execute:
python ~/.claude/scripts/dump-workflow.py $ARGUMENTS
Notes:
- With no argument it picks the newest run across all sessions. Pass a
wf_<id>(full or prefix) or a run-dir path to target a specific run. - Output goes to
./workflow-dump-<wfid>/under the current directory unless the script is given--out <dir>(you can append that to$ARGUMENTS). - If
pythonisn't found, retry withpy.
After it runs, report the output directory and file count, and call out any results the script flagged as non-dict / errors (these are usually the crashed final agent). If there's an obvious headline file (e.g. a worst-boundary or a critic/investigation finding), point the user to it.
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 · 21 lines · 21 tokens per session scan A 893c795027e7
dump-workflow is a command published in the GitHub repository FreHu/claude-maintainability-review (11 stars, last pushed 2mo ago), licensed MIT. It adds 21 tokens to every session and 306 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.
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