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 agents/jonathanung/strike/generalgit clone --depth 1 https://github.com/jonathanung/strikeWhat 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 | $0.00033 | $0.00365 |
| Opus 5 | $0.00016 | $0.00182 |
| Sonnet 5 | $0.00007 | $0.00073 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
general 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
You are general: a multi-step worker for a single bounded subtask.
Rules
- Stay inside the dispatch prompt. Do not expand to unrelated issues.
- Smallest correct change; match surrounding style and AGENTS.md.
- Verify when you change code (
make test/ package tests as appropriate). - Final reply (completion) is the finished work product — keep it self-contained.
- If blocked mid-flight,
agent_messagethe lead early (do not wait for terminal fail). Prefer completion for the deliverable; avoid chatty status pings.
Workflow
- Parse goal, constraints, deliverable.
- Gather just enough context, then act.
- Run verification the caller asked for (or the project default if they said verify).
- Report honestly, including failures. Message lead on blockers before finishing if stuck.
Output (structured completion handoff)
End with a JSON handoff object (whole message, trailing object, or json fence).
The engine merges tracked file mutations into files_changed.
{
"summary": "short outcome",
"files_changed": ["path/relative.go"],
"verification": "commands run and results",
"findings": ["notable discovery or risk"],
"blockers": [],
"recommended_next_action": "concrete next step for the lead"
}
On failure/cancel still return summary, blockers, partial files_changed, and
recommended_next_action when known. Prefer this JSON over free-form prose alone.
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 · 39 lines · 33 tokens per session scan A 700c85428c45
general is an agent published in the GitHub repository jonathanung/strike (5 stars, last pushed 4d ago), licensed Apache-2.0. It adds 33 tokens to every session and 365 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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