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/mdsakalu/agent-plugins/listgit clone --depth 1 https://github.com/mdsakalu/agent-pluginsWhat 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 | $0.00009 | $0.00383 |
| Opus 5 | $0.00005 | $0.00192 |
| Sonnet 5 | $0.00002 | $0.00077 |
| Haiku 4.5 | $0.00001 | $0.00038 |
Grade A, and why
list 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 2d 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
List all workspaces across all onboarded repositories.
Resolve the metarepo path by reading ~/.claude/workspace-config.json and expanding ~ to $HOME.
The user's request: $ARGUMENTS
Steps
- Read
~/.claude/workspace-config.jsonto get the metarepo path. Expand~to$HOME. - Run the list script:
bash ${CLAUDE_PLUGIN_ROOT}/scripts/workspaces/list-workspaces.sh - If the user specified a repo filter, add
--repo <repo>:bash ${CLAUDE_PLUGIN_ROOT}/scripts/workspaces/list-workspaces.sh --repo <repo> - Format the output as a clean grouped listing:
- Group by repo
- For each workspace show: name, type, purpose, owner, active/retired, reference count
- If filtering requested (e.g., "active only", "spike", specific repo), apply filters.
- Show a summary count at the end (e.g., "3 repos, 12 active, 4 retired").
Important
- Always resolve metarepo from
~/.claude/workspace-config.json, never hardcode paths. - The list script scans
<metarepo>/repos/for.repo.jsonfiles (discovers repos) and<metarepo>/notes/<repo>/*/workspace.jsonfor workspace metadata. - Retired workspaces may have notes but no live JJ workspace directory.
- The trunk workspace is special — it mirrors the default branch.
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.
- 2d ago First seen · 35 lines · 9 tokens per session scan A 4a6ca346bfd6
list is a command published in the GitHub repository mdsakalu/agent-plugins (4 stars, last pushed 2mo ago), licensed MIT. It adds 9 tokens to every session and 383 once invoked, about $0.0000 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
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.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.