lfx-mcp: Skill for Claude Code

.agents/skills/validate-search-filters/SKILL.md

validate-search-filters is a skill for Claude Code, Codex from linuxfoundation/lfx-mcp. It costs 48 tokens per session (3,937 once invoked), scanned A, original, MIT.

A guide for checking search filters against the live OpenSearch index and the documented rules used by the service that builds that index.

In plain words
What is it for?
Use it after a filter bug or a search-contract change to check every affected tool and produce a result for each filter, with fixes optionally applied.
Why use it?
It helps identify filters that are missing, wrongly implemented, or no longer match the available data. It also accounts for empty tag values and older records with incomplete relationships.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is linuxfoundation/lfx-mcp's own configuration. It tells Claude Code and Codex how to work on lfx-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything lfx-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to linuxfoundation/lfx-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/linuxfoundation/lfx-mcp/main/.agents/skills/validate-search-filters/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/linuxfoundation/lfx-mcp

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 validate-search-filters

README.md
[![agentmods](https://agentmods.dev/badge/skills/linuxfoundation/lfx-mcp/validate-search-filters.svg)](https://agentmods.dev/skills/linuxfoundation/lfx-mcp/validate-search-filters)
Your own site
<a href="https://agentmods.dev/skills/linuxfoundation/lfx-mcp/validate-search-filters"><img src="https://agentmods.dev/badge/skills/linuxfoundation/lfx-mcp/validate-search-filters.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,937 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00048 $0.03937
Opus 5 $0.00024 $0.01969
Sonnet 5 $0.00010 $0.00787
Haiku 4.5 $0.00005 $0.00394

Measured 7d ago against content hash e598b85d8692, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

validate-search-filters scanned grade A with 1 finding 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 7d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

`curl` queries must be run via `kubectl exec` into the NATS box pod.
.agents/skills/validate-search-filters/SKILL.md · 291 lines

How it starts

The opening of the file, as written. The whole thing — 291 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Validate Search Filters

Validate every filter parameter across all tools that use the query service SDK in internal/tools/ against the live OpenSearch resources index and the upstream indexer-contract documentation. Produce a per-filter verdict table and optionally apply fixes.

Gotchas

  • The OpenSearch cluster is AWS-managed and not port-forward accessible. All curl queries must be run via kubectl exec into the NATS box pod.
  • Discover the pod name dynamically — never hardcode it. Use the label selector app.kubernetes.io/component=nats-box,app.kubernetes.io/instance=lfx-platform in namespace lfx.
  • Discover the OpenSearch URL dynamically from the indexer deployment env var OPENSEARCH_URL. The index name is in OPENSEARCH_INDEX (currently resources). Combine them into OPENSEARCH_BASEURL as shown in Step 1.
  • tags entries may have empty values (e.g. "committee_uid:", "project_uid:") — these are indexed but useless for filtering. A tag key is only valid evidence when at least one document has a non-empty value for it.
  • Mixed old/new data means partial parent_refs coverage is expected on some resource types. A non-zero hit count on a prefix query is sufficient evidence that the mechanism works.
  • payload.Parent in the query service is a single string. A tool that accepts both project_uid and committee_uid can only send one at a time.
  • handleSearchPastMeetingParticipants and handleSearchPastMeetingSummaries are dedicated handlers — each owns its own filter logic independently.
  • Prefer count-only queries over random sampling. A handful of random documents proves nothing — you can get lucky and see the right fields while 90% of the corpus has them missing. Always run "size": 0 prefix count queries first. Only pull sample documents ("size": 3) as a secondary debugging aid when a count is zero or surprising (e.g. to understand what fields are actually present on that resource type).

Step 1 — Discover infrastructure

Read the full file on GitHub · 291 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. 7d ago First seen · 291 lines · 48 tokens per session scan A e598b85d8692

Subscribe to this mod's changes

validate-search-filters is a skill published in the GitHub repository linuxfoundation/lfx-mcp (20 stars, last pushed 2d ago), licensed MIT. It adds 48 tokens to every session and 3,937 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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