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/echoingvesper/mcp-task-orchestrator/smart-commitgit clone --depth 1 https://github.com/EchoingVesper/mcp-task-orchestratorWhat 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 | $0.00010 | $0.00291 |
| Opus 5 | $0.00005 | $0.00146 |
| Sonnet 5 | $0.00002 | $0.00058 |
| Haiku 4.5 | $0.00001 | $0.00029 |
Grade A, and why
commit 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- commit — 100% identical, 98 lines differ
What it actually says
additional instructions = $ARGUMENTS
type = "feat", "fix", "docs", "style", "refactor", "perf", "test", "chore"
Smart Git CommitPRPs/ai_docs
Please help me create a git commit by:
- First, check the current git status and analyze what changed:
git status
git diff --staged
- If no files are staged, show me the changes and help me decide what to stage:
git diff
git status -s
- Based on the changes, suggest:
- The appropriate commit type (feat/fix/docs/style/refactor/perf/test/chore)
- A concise, descriptive commit message following conventional commits
- If the changes are complex, suggest breaking into multiple commits
- The commit format should be:
$type: description for simple commits For complex changes, include a body explaining what and why
- After showing me the suggested commit message, ask if I want to:
- Use it as-is
- Modify it
- Add more details to the body
- Stage different files
-
Once approved, create the commit and show me the result.
-
Finally, ask if I want to push or create a PR.
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 · 50 lines · 10 tokens per session scan A c780516b142e
commit is a command published in the GitHub repository EchoingVesper/mcp-task-orchestrator (28 stars, last pushed 1y ago), licensed MIT. It adds 10 tokens to every session and 291 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.
Other commands, from other repositories
evolve
Agrupa instincts consolidados en skills accionables y las registra en skills-registry/custom/evolved/. Las skills quedan PENDIENTEREVISION hasta que el usuario las apruebe.
proyecto
Declara el proyecto activo (scope global) para atribucion de coste/horas en agentactions. Sin argumento, muestra el proyecto actual.
svsi-review
/svsi-review {slug} # modo interactivo en sesión Claude Code /svsi-review --batch {file} # delega a predrivereview.py (tmux, no en sesión) /svsi-review --stats # métricas acumuladas desde SQLite.
handover
Works for you. Go outside and live. — AI orchestrator that auto-routes tasks to the cheapest model that solves them. 70% run free on local models. Self-auditing, self-improving, zero prompting skill needed. Built with vibe coding by a finance student. Your models, your data.
instinct-status
Shows learned instincts from dqiii8.db, grouped by project and confidence. Internal diagnostic tool — not for user invocation.
quality-gate
Works for you. Go outside and live. — AI orchestrator that auto-routes tasks to the cheapest model that solves them. 70% run free on local models. Self-auditing, self-improving, zero prompting skill needed. Built with vibe coding by a finance student. Your models, your data.