SoloMD is a local-first Markdown editor that stores notes as files and provides an interface for AI agents to work with that collection, or vault. It is for people who manage notes and knowledge bases while using agents such as Claude Code, Codex, or Cursor.
Borrowing it
Nothing to install: this file belongs to zhitongblog/solomd. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/zhitongblog/solomd/main/.agents/skills/competitor-feedback/SKILL.mdgit clone --depth 1 https://github.com/zhitongblog/solomdWrote 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/zhitongblog/solomd/competitor-feedback)<a href="https://agentmods.dev/skills/zhitongblog/solomd/competitor-feedback"><img src="https://agentmods.dev/badge/skills/zhitongblog/solomd/competitor-feedback/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/zhitongblog/solomd/competitor-feedback"><img src="https://agentmods.dev/badge/skills/zhitongblog/solomd/competitor-feedback.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00118 | $0.01275 |
| Opus 5 | $0.00059 | $0.00638 |
| Sonnet 5 | $0.00024 | $0.00255 |
| Haiku 4.5 | $0.00012 | $0.00128 |
Grade A, and why
competitor-feedback 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitor feedback watch
Pulls real user feedback from SoloMD's competitors and turns it into a product signal: what their users want that we could win on, and what they ship that we lack.
Channels (which tools actually work)
The global AGENTS.md mentions an unzoo browser. The mcp__unzoo__* MCP tools
are not installed — but unzoo IS available as a local REST API at
http://127.0.0.1:9399 (a real headless Chromium: JS rendering, anti-bot,
cookies). Use it via the bundled unzoo.sh wrapper, not MCP calls.
- GitHub (primary, structured): the
ghCLI, driven byscan.sh— gives reaction-sorted issue lists (best unmet-demand signal). This is the main channel. - Closed-source competitors (Typora, Obsidian, Bear, iA Writer, Tolaria…): no
public issue API → use
unzoo.shto read their forums/Reddit:unzoo.sh fetch-web <forum-url>andunzoo.sh search-web "<name> bug …".unzoo.sh discover-rss <site>can find a feed to poll.WebSearch/WebFetchare fine fallbacks. - GitHub fallback: if
gh/the GitHub API is rate-limited or EOFs (CN network),unzoo.sh search-github "<query>"/unzoo.sh fetch-github <owner> <repo>reach GitHub through the browser backend and often succeed whenghdoesn't. - Check it's up first:
unzoo.sh health→{"status":"ok"}. Endpoints accepturl/query/owner+repo; responses are{success, data}JSON.
Steps
-
Pick mode.
- Full scan (default):
bash .Codex/skills/competitor-feedback/scan.sh - Subscribe / incremental (only issues opened since last run):
bash .Codex/skills/competitor-feedback/scan.sh new - Restrict to some competitors:
scan.sh full Logseq SiYuan - Tune volume with
LIMIT=12 scan.sh.
The competitor registry is
competitors.json(edit to add/remove). GitHub-hosted ones are fetched directly; the script prints the GitHub digest and then lists the closed-source competitors for you to handle in step 2. It also writes.last-scanso the nextnewrun is truly incremental — that's the "subscribe" behaviour. - Full scan (default):
What ships with it
4 files 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.
- 10d ago First seen · 97 lines · 118 tokens per session scan A d5ab9ce35bfe
competitor-feedback is a skill published in the GitHub repository zhitongblog/solomd (1,024 stars, last pushed today), licensed MIT. It adds 118 tokens to every session and 1,275 once invoked, about $0.0006 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.
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