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 skills/resolve-ai-oss/resolve-ai-plugins/help-resolvenpx skills add resolve-ai-oss/resolve-ai-plugins --skill help-resolvegit clone --depth 1 https://github.com/resolve-ai-oss/resolve-ai-pluginsWrote 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/skills/resolve-ai-oss/resolve-ai-plugins/help-resolve)<a href="https://agentmods.dev/skills/resolve-ai-oss/resolve-ai-plugins/help-resolve"><img src="https://agentmods.dev/badge/skills/resolve-ai-oss/resolve-ai-plugins/help-resolve.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 5.1 | $0.00084 | $0.00317 |
| Opus 5 | $0.00042 | $0.00159 |
| Sonnet 5 | $0.00017 | $0.00063 |
| Haiku 4.5 | $0.00008 | $0.00032 |
Grade A, and why
help-resolve 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
Resolve
Resolve (resolve.ai) is an AI DevOps investigation platform. It runs structured RCAs on production incidents, surfaces alert correlations, builds theory cards with citations, and lets you chat with the investigation as it works.
When the user mentions production incidents, alerts, active investigations, or asks about Resolve, this skill engages. From here:
- User pasted a Resolve URL or named an investigation →
resolve-ai:investigateto load and summarize it. - User described a problem with no existing URL →
resolve-ai:investigateto compose a prompt and (with confirmation) kick off a new investigation. - User wants to translate findings to local code changes →
resolve-ai:apply-fix.
Response Style
Preserve [label](path) markdown citations verbatim — they're paths the user can drill into via read_file. Always surface canvas URLs. Keep replies concise; let the user drive depth.
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 · 23 lines · 84 tokens per session scan A 95939f6748a1
help-resolve is a skill published in the GitHub repository resolve-ai-oss/resolve-ai-plugins (4 stars, last pushed 11d ago), licensed Apache-2.0. It adds 84 tokens to every session and 317 once invoked, about $0.0004 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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