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 skills add mskadu/opencode-agent-skills --skill skill-suggestergit clone --depth 1 https://github.com/mskadu/opencode-agent-skillsWrote 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/mskadu/opencode-agent-skills/skill-suggester)<a href="https://agentmods.dev/skills/mskadu/opencode-agent-skills/skill-suggester"><img src="https://agentmods.dev/badge/skills/mskadu/opencode-agent-skills/skill-suggester/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/skills/mskadu/opencode-agent-skills/skill-suggester"><img src="https://agentmods.dev/badge/skills/mskadu/opencode-agent-skills/skill-suggester.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 | $0.00022 | $0.00490 |
| Opus 5.5 | $0.00009 | $0.00196 |
| Sonnet 5.5 | $0.00004 | $0.00098 |
| Haiku 4.5 | $0.00002 | $0.00049 |
Grade A, and why
skill-suggester 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 2mo 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
What I do
Reads your opencode prompt history, finds repeated multi-step workflows, and recommends skill-worthy candidates. Saves you from having the same conversation twice.
How to invoke
Run /skill skill-suggester to scan the full history. Optionally pass --since <date> (e.g. --since 2026-05-01) to limit the window.
Analysis method
- Locate prompt history files at
~/.local/state/opencode/prompt-history*.jsonl - Parse each entry's message content
- Score for skill potential by looking for:
- Repetition: similar phrasing or topic used 3+ times ("scan all repos", "check my inbox")
- Multi-step sequences: a request that required 5+ tool calls to complete
- Unsupported requests: things you asked for that don't have a dedicated skill yet
- Workaround patterns: instructions you give every time instead of a one-shot command
- For each candidate, note:
- How many times the pattern appeared
- How many tool calls it consumed
- The estimated time savings if it were a skill
Output format
## Skill Candidates (last N entries)
### 1. "<candidate name>" (PRIORITY)
- **Pattern**: <what you keep asking for>
- **Frequency**: X times in history
- **Avg complexity**: Y tool calls per instance
- **Estimated savings**: ~Z minutes/week
- **Evidence**:
- "[excerpt from prompt history]"
- "[another excerpt]"
- **Recommendation**: <create as skill | add as command template | not worth it>
### 2. ...
Key rules
- Only flag patterns that happen more than twice. One-offs are not skills.
- Include direct quotes from your past prompts as evidence.
- Rate each candidate:
high(clear ROI, use weekly),medium(nice to have),low(rare but worth noting). - If nothing qualifies, say so and explain why.
- After presenting candidates, ask if you want to create any of them.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 55 lines · 22 tokens per session scan A e31f8ad824f2
skill-suggester is a skill published in the GitHub repository mskadu/opencode-agent-skills (1 stars, last pushed 4mo ago), licensed MIT. It adds 22 tokens to every session and 490 once invoked, about $0.0001 per session on Opus 5.5. 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 skills, from other repositories
architecture-diagram
Build interactive, click-through architecture diagrams for software systems — a self-contained single HTML file with animated step-by-step flows, mode toggles (dev/prod, offline/online, v1/v2), dark/light theme, and a side panel with payload details, plus a companion markdown description. Use when the user wants to…
tech-design-generation
Generates professional Technical Design Documents following industry-standard engineering practices. This skill activates when the user asks to write a technical design, create an architecture design, draft a design doc, write a technical proposal, do system design, create a technical design document, write an RFC…
idea
Use when exploring a new idea before writing formal specifications. Guides users through iterative discovery, research, and critical analysis to crystallize vague ideas into validated requirement drafts. Includes anti-pseudo-requirement checks, competitive research, demand evidence gathering, and "What if we don't…
test-cases-generation
Generates structured test case sets with multi-dimensional coverage from project code analysis or specification documents. This skill activates when the user asks to write test cases, generate tests, supplement tests, create test coverage, or improve test completeness. It auto-scans the project to extract testable…
test-plan-generation
Generates professional Test Plan and Test Cases documents following IEEE 829 test documentation standards, ISTQB testing methodologies, and Google Testing Blog best practices. This skill activates when the user asks to write a test plan, create test cases, draft a test plan document, create a test cases document…
prd-generation
Generates professional Product Requirements Documents (PRDs) following industry-standard methodologies. This skill activates when the user asks to write PRD, create a product requirements document, draft product requirements, do product planning, do feature planning, write a product spec, or create a product document.…