search

A search tool for FragCap, a shared registry of reusable capsules—small packages of instructions or solutions for coding tasks.

In plain words
What is it for?
It is for searching the registry, viewing ranked matches, fetching their details, and installing a matching capsule as a local skill.
Why use it?
It helps developers find whether someone has already documented a solution to a problem instead of starting from scratch.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/fragcap/plugin/search
Any agent
npx skills add fragcap/plugin --skill search
Clone the repo
git clone --depth 1 https://github.com/fragcap/plugin

Made for: Claude Code, Codex.

Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 603 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00034 $0.00603
Opus 5 $0.00017 $0.00302
Sonnet 5 $0.00007 $0.00121
Haiku 4.5 $0.00003 $0.00060

Measured yesterday against content hash 4f1294b901dc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

search 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 yesterday.

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.

skills/search/SKILL.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Search Capsules

Search across all FragCap users for capsules relevant to the user's current problem. Uses the GitHub Pages registry (no rate limit, no auth required).

Script Convention

FRAGCAP_DATA="${CLAUDE_PLUGIN_DATA}" node "${CLAUDE_PLUGIN_ROOT}/scripts/<n>.mjs" [args]

If a script exits with a non-zero code or returns { error: "..." }, stop immediately and surface the error to the user. Never silently retry with a different command or skip the step.

When to Activate

  • User runs /fragcap:search <query>
  • User asks "has anyone solved this before" or similar

Flow

  1. Get query:

    • If $ARGUMENTS is provided, use it as the search query.
    • Otherwise, ask: "What problem are you working on?"
  2. Search — run search.mjs <query>. It returns { results: [...], total_found, keywords }.

  3. Display results — show a compact numbered list with status, problem, tags, and author.

    • If no results: "No matching capsules found. Try broader keywords or different terms."
    • If total_found > 5: mention there are more results.
  4. Detail on demand — present options inline matching the numbered list above, do not ask the user to type a gist ID:

    [1] View details  [2] View details  ...  [0] Done
    

    For each selected result, run fetch-capsule.mjs <gist-id> and present the full capsule content (problem, attempts, pitfalls, solution, snippet). The response also includes raw_skill — the full SKILL.md content.

  5. Install option — after viewing details, offer:

    [1] Install as local skill  [2] Back to results
    

    If the user picks install, run install-capsule.mjs <gist-id>. This writes the SKILL.md to .claude/skills/ in the current project, making it automatically available in future sessions.

  6. Apply — if a capsule is relevant, suggest how it might apply to the user's current work.

Error Handling

  • If search.mjs fails: show the error message and stop.
  • If fetch-capsule.mjs fails on a selected result: show the error and offer to try another result.

Read the full file on GitHub · 58 lines

Changes

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.

  1. yesterday First seen · 58 lines · 34 tokens per session scan A 4f1294b901dc

Subscribe to this mod's changes

search is a skill published in the GitHub repository fragcap/plugin (2 stars, last pushed 5mo ago), licensed MIT. It adds 34 tokens to every session and 603 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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