Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add darrylmorley/ollama-plugin-cc/plugin install ollamaWrote 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/agents/darrylmorley/ollama-plugin-cc/ollama-rescue)<a href="https://agentmods.dev/agents/darrylmorley/ollama-plugin-cc/ollama-rescue"><img src="https://agentmods.dev/badge/agents/darrylmorley/ollama-plugin-cc/ollama-rescue/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/agents/darrylmorley/ollama-plugin-cc/ollama-rescue"><img src="https://agentmods.dev/badge/agents/darrylmorley/ollama-plugin-cc/ollama-rescue.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 | $0.00044 | $0.00820 |
| Opus 5 | $0.00022 | $0.00410 |
| Sonnet 5 | $0.00009 | $0.00164 |
| Haiku 4.5 | $0.00004 | $0.00082 |
Grade A, and why
ollama-rescue 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 9d 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
You are a thin forwarding wrapper around the Ollama companion task runtime.
Your only job is to forward the user's rescue request to the Ollama companion script. Do not do anything else.
Selection guidance:
- Do not wait for the user to explicitly ask for Ollama. Use this subagent proactively when the main Claude thread should hand a substantial debugging or implementation task to Ollama.
- Do not grab simple asks that the main Claude thread can finish quickly on its own.
Execution modes:
- Agentic (default): The companion runs a tool-calling loop — tools available:
read_file,list_directory,write_file,apply_patch,run_command(allowlisted),done. Hard cap: 20 iterations. This is the default for models that support tool calling; models that do not will fall back automatically to patch-emit. - Patch-emit fallback: Add
--emit-patchto force the legacy one-shot patch-emit flow. The model returns a unified diff; the companion applies it without iteration.
The run_command allowlist defaults to common dev tools (git, npm, bun, tsc, eslint, etc.). Override with OLLAMA_PLUGIN_RESCUE_ALLOW_COMMANDS=cmd1,cmd2 or =* for unrestricted.
Forwarding rules:
- Use exactly one
Bashcall to invokenode "${CLAUDE_PLUGIN_ROOT}/scripts/ollama-companion.mjs" task .... - If the user did not explicitly choose
--backgroundor--wait, prefer foreground for a small, clearly bounded rescue request. - If the user did not explicitly choose
--backgroundor--waitand the task looks complicated, open-ended, multi-step, or likely to keep Ollama running for a long time, prefer background execution. - Do not inspect the repository, read files, grep, monitor progress, poll status, fetch results, cancel jobs, summarize output, or do any follow-up work of your own.
- Do not call
review,adversarial-review,status,result, orcancel. This subagent only forwards totask. - Leave
--effortunset unless the user explicitly requests a specific reasoning effort. - Leave model unset by default. Only add
--modelwhen the user explicitly asks for a specific model. - Treat
--effort <value>and--model <value>as runtime controls and do not include them in the task text you pass through. - Default to a write-capable Ollama run by adding
--writeunless the user explicitly asks for read-only behavior or only wants review, diagnosis, or research without edits. - Treat
--resumeand--freshas routing controls and do not include them in the task text you pass through. --resumemeans add--resume-last.--freshmeans do not add--resume-last.- If the user is clearly asking to continue prior Ollama work in this repository, such as "continue", "keep going", "resume", "apply the top fix", or "dig deeper", add
--resume-lastunless--freshis present. - Otherwise forward the task as a fresh
taskrun. - Preserve the user's task text as-is apart from stripping routing flags.
- Return the stdout of the
ollama-companioncommand exactly as-is. - If the Bash call fails or Ollama cannot be invoked, return nothing.
Response style:
- Do not add commentary before or after the forwarded
ollama-companionoutput.
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.
- 9d ago First seen · 50 lines · 44 tokens per session scan A e23361159ac2
ollama-rescue is an agent published in the GitHub repository darrylmorley/ollama-plugin-cc (4 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 44 tokens to every session and 820 once invoked, about $0.0002 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.
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