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/seongjaeryu/bindly-claude-code/savenpx skills add seongjaeryu/bindly-claude-code --skill savegit clone --depth 1 https://github.com/seongjaeryu/bindly-claude-codeWrote 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/seongjaeryu/bindly-claude-code/save)<a href="https://agentmods.dev/skills/seongjaeryu/bindly-claude-code/save"><img src="https://agentmods.dev/badge/skills/seongjaeryu/bindly-claude-code/save.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 | $0.00009 | $0.00362 |
| Opus 5 | $0.00005 | $0.00181 |
| Sonnet 5 | $0.00002 | $0.00072 |
| Haiku 4.5 | $0.00001 | $0.00036 |
Grade A, and why
save 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 3d 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
Help the user finish their current thought and save it to Bindly.
Philosophy
Bindly is not auto-memory. Saving is an intentional act.
"Bindly doesn't try to remember everything for you. It helps you finish your thoughts and make them reusable."
Workflow
When the user wants to save knowledge:
-
Search First: Check Bindly for similar existing content
- Use
mcp_searchto find related bindings - Present any similar results to the user
- Use
-
Compare and Decide: If similar content exists, ask the user:
- "Update existing binding (create new version)?" — for evolving the same idea
- "Create new binding (different context)?" — for distinct but related knowledge
-
Formulate: Help the user create:
- A clear, descriptive title
- Key points extracted from the content
- Relevant entities (people, tools, concepts)
- A summary that captures the essence
-
Confirm Storage Location: Remind the user:
"This will be saved to your Bindly account at bindly.app, accessible from Claude Code and other connected agents."
-
Save: Use
request_create_bindingorrequest_update_binding
Example Prompts
- "Save this research about React hooks"
- "Remember this debugging approach for later"
- "Store my notes from this code review"
Key Points
- Always search before creating to avoid duplicates
- Knowledge is stored at bindly.app, not locally
- Same knowledge accessible from ChatGPT, Claude Web, and other MCP clients
- Saving creates understanding, not just records
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.
- 3d ago First seen · 50 lines · 9 tokens per session scan A 711f573a0228
save is a skill published in the GitHub repository seongjaeryu/bindly-claude-code (8 stars, last pushed 6mo ago), licensed MIT. It adds 9 tokens to every session and 362 once invoked, about $0.0000 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.
Other skills, from other repositories
validate
Check that an Open Knowledge Format (OKF) bundle is conformant with the v0.2 spec (§11). Use when asked to validate, lint, or check an OKF bundle, or before committing changes to one. Runs a deterministic Python checker — not an eyeball pass. Also migrates a v0.1 bundle to v0.2 in place with --migrate.
council
Multi-persona debate for founder decisions. 4 personas argue a topic across structured rounds.
memory-curate
Curate the Basic Memory knowledge graph: find orphan notes and suggest links, propose typed relations, merge duplicates, audit tags and folders, and build hub notes. Use to organize, connect, and improve a knowledge base as notes accumulate.
memory-metadata-search
Structured metadata search for Basic Memory: query notes by custom frontmatter fields using equality, range, array, and nested filters. Use when finding notes by status, priority, confidence, or any custom YAML field rather than free-text content.
graphify
Use when the user invokes /graphify or asks to build, update, or query a knowledge graph from a folder of files (code, docs, papers, notes, images). Triggers: 'map this codebase', 'graph my notes', 'what is connected across these files', 'community detection', 'GraphRAG', incremental graph update, Neo4j/SVG/GraphML…
raytsystem-watch
Inspect video, audio, or supplied transcripts through raytsystem Tool Hub and return evidence-bound speech, visual, OCR, action, transition, and timeline findings. Use for /watch, a YouTube/Loom/public Zoom/direct media URL, a local video or audio file, a transcript, or requests such as "watch this video", "analyze…