dory-search

dory-search is a skill for Claude Code, Codex from deeflect/dory. It costs 34 tokens per session (381 once invoked), scanned A, original, MIT.

A skill for searching Dory, a memory store for past project sessions, people, decisions, dates, and cleanup records.

In plain words
What is it for?
Use it to search recent or exact memories and retrieve the source record when more evidence is needed.
Why use it?
It reduces the risk of making unsupported or outdated claims about earlier work.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to search recent or exact memories and retrieve the source record when more evidence is needed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/deeflect/dory/dory-search
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.

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

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for dory-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/deeflect/dory/dory-search/github.svg)](https://agentmods.dev/skills/deeflect/dory/dory-search)
Your own site
<a href="https://agentmods.dev/skills/deeflect/dory/dory-search"><img src="https://agentmods.dev/badge/skills/deeflect/dory/dory-search/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.

agentmods 80×15 button for dory-search

Your own site · 80×15
<a href="https://agentmods.dev/skills/deeflect/dory/dory-search"><img src="https://agentmods.dev/badge/skills/deeflect/dory/dory-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 381 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00034 $0.00381
Opus 5.5 $0.00014 $0.00152
Sonnet 5.5 $0.00007 $0.00076
Haiku 4.5 $0.00003 $0.00038

Measured 2mo ago against content hash b8165ff09532, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dory-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 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.

skills/dory-search/SKILL.md · 25 lines

What it actually says

Use dory search before answering factual questions about people, projects, decisions, dates, or prior sessions.

Workflow:

  1. If the task asks for a fast recent recap, use dory_digest first instead of searching for a digest tag.
  2. Start normal fact retrieval with uv run dory --corpus-root <corpus> --index-root <index> search "<query>"
  3. If needed, follow with dory get <path> on the best hit
  4. If a result has stale_warning, treat it as possibly outdated and look for fresher evidence

Rules:

  • Prefer retrieval over guessing
  • Use search even if wake seems related; wake is cached context, search is live evidence
  • Do not assume digest files have a searchable digest tag; dory_digest resolves digests/daily, digests/weekly, and legacy logs/** paths directly
  • Use mode=exact for cleanup markers, unique strings, and artifact existence checks
  • Use mode=text, mode=keyword, or mode=lexical when you want BM25-only search; all three normalize to bm25
  • Use mode=semantic when you want vector-only search; it normalizes to vector
  • Hybrid search is deterministic by default; LLM-assisted planning, expansion, and reranking require explicit DORY_QUERY_* server flags
  • Use rerank="false" for baseline deterministic search, rerank="true" to force the configured reranker, and rerank="auto" to follow server defaults
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. 2mo ago First seen · 25 lines · 34 tokens per session scan A b8165ff09532

Subscribe to this mod's changes

dory-search is a skill published in the GitHub repository deeflect/dory (13 stars, last pushed 4mo ago), licensed MIT. It adds 34 tokens to every session and 381 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 2026-08-30.

Related

Other skills, from other repositories

agentmemory-agents

How agentmemory wires into host coding agents via the connect command. Use when installing agentmemory into a specific agent, when asked which agents are supported, or when a connect adapter writes the wrong config path.

rohitg00/agentmemory · 46 tokens

memory-retain

Save what was learned to Hindsight long-term memory. Use when a task finishes, when the user states a fact, decision or preference, and when you discover something a later run or another Bot would need.

vectorize-io/hindsight · 46 tokens

last30Days

Resolve "last30Days" to a concrete ISO date range relative to your run time — a rolling 30-day window ending today. Returns inclusive civil dates plus exact UTC instants so you have temporal context without computing dates by hand. Read-only: no writes, no network. Use before a "last 30 days" / trailing-month task…

chaitanyagiri/munder-difflin · 83 tokens

thisWeek

Resolve "thisWeek" to a concrete ISO date range relative to your run time — this week so far (Monday → today). Returns inclusive civil dates plus exact UTC instants so you have temporal context without computing dates by hand. Read-only: no writes, no network. Use before a week-to-date task (this week's activity…

chaitanyagiri/munder-difflin · 77 tokens

md-fetch-summarize

Fetch a URL and return a concise markdown summary of its content. Read-only: no files are written; the summary is returned as output only. Use when asked to "fetch and summarize", "summarize this URL", "what does this page say", or "get the content of ". Proactively suggest when the user pastes a URL and asks what it…

chaitanyagiri/munder-difflin · 93 tokens

session-summaries

What the chat right-panel session summary shows, what it costs, and how to make a session summarize well. Load when the user asks about the session summary panel, why a summary looks wrong or empty, or how to turn it on.

kirodotdev/KiroCrew · 53 tokens