Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/rjmurillo/ai-agentsnpx agentmods add skills/rjmurillo/ai-agents/memory-searchWrote 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/rjmurillo/ai-agents/memory-search)<a href="https://agentmods.dev/skills/rjmurillo/ai-agents/memory-search"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/memory-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.
<a href="https://agentmods.dev/skills/rjmurillo/ai-agents/memory-search"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/memory-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Rogue Agent · line 151 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 | $0.00077 | $0.01462 |
| Opus 5 | $0.00039 | $0.00731 |
| Sonnet 5 | $0.00015 | $0.00292 |
| Haiku 4.5 | $0.00008 | $0.00146 |
Grade A, and why
memory-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 2d 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Memory Search
Tier 1 semantic search over memory: the focused search operation extracted from
the memory router per ADR-063 (memory-skill decomposition). memory still
routes here; a caller that needs only search loads this sub-skill instead of the
full memory surface.
Triggers
Use this skill when the user says:
search memoryfor semantic search across stored knowledgewhat do we know about Xto recall facts, patterns, or constraintsrecall prior contextbefore changing existing code or architecture
Quick Start
# Search memory (Tier 1)
python3 .claude/skills/memory/scripts/search_memory.py "git hooks"
# JSON output for scripting
python3 .claude/skills/memory/scripts/search_memory.py "git hooks" --format json
The search script is canonical and shared with the memory router; this
sub-skill does not reimplement it. It lives at
.claude/skills/memory/scripts/search_memory.py.
Quick Reference
| Operation | Script | Key Parameters |
|---|---|---|
| Search facts/patterns | search_memory.py |
query, --max-results, --format |
Routing
search_memory.py "<q>" keyword-ranks Serena memory names, also searches the
Tier 2 episode store, flags large memories by token estimate, and returns the
relevant *-index. Read that index, then follow its links to
the atomic file.
Raw fallback when scripting: guess read_memory("<intuitive-name>") (a miss is
a cheap "not found", not a list), then the domain *-index, then
read_memory("memory-index"). Prefer these name and index lookups over a bare
list_memories.
Progressive Disclosure
This skill implements progressive disclosure: list names, read details, deep dive on cross-references. The point is to avoid loading a large memory when a small slice answers the query.
| Layer | Tool | Cost | When to Use |
|---|---|---|---|
| Index | search_memory.py |
~100-500 tokens | Always start here |
| Details | read_memory |
~500-10K tokens | After index confirms relevance |
| Deep Dive | Follow cross-references | Variable | For complete understanding |
What ships with it
6 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.
- 2d ago Changed · -9 lines · -1 tokens per session 890afa09d85c
- 4d ago First seen · 180 lines · 78 tokens per session scan A b2a1c6186513
memory-search is a skill published in the GitHub repository rjmurillo/ai-agents (45 stars, last pushed yesterday), licensed MIT. It adds 77 tokens to every session and 1,462 once invoked, about $0.0004 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 2026-09-03.
Other skills, from other repositories
context-recovery
Recover missing conversation context after explicit compaction or truncation, or when the user explicitly asks to recover prior work. Use for requests such as "where were we before compaction?" when the current thread is insufficient. Do not trigger on a generic "continue" when the current thread already provides an…
ci-cd
A guide for designing automated build and delivery workflows with GitHub Actions. These workflows can run checks such as tests, code-quality scans, coverage checks, and builds when code is pushed or a pull request is opened.
context-search
A continuity workflow for finding context from earlier coding-agent sessions. It can inspect continuation notes and session records when a task refers to previous work.
abmind-runtime-operations
Inspect and maintain abmind memory, persona files, sleep, backups, encryption, and runtime health.
memory-search
Search persistent memory for facts, decisions, and past conversations.
topic-save
Save and manage topic-specific knowledge files from conversations.