lfx-self-serve: Skill for Claude Code

.github/skills/self-serve-security-review/SKILL.md

self-serve-security-review is a skill for Claude Code, Codex from linuxfoundation/lfx-self-serve. It costs 155 tokens per session (3,440 once invoked), scanned A, original, MIT.

A security review process for LFX One pull requests that checks authentication, user identity, public routes, server code, and calls to upstream services.

In plain words
What is it for?
Use it when a pull request changes authentication, route classification, identity handling, server controllers or services, proxy calls, or public API surfaces.
Why use it?
It focuses review on risks such as users seeing another person’s data, leaked sessions or tokens, broken access controls, and anonymous access to private functionality.

Skill for Claude CodeCodex

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

This is linuxfoundation/lfx-self-serve's own configuration. It tells Claude Code and Codex how to work on lfx-self-serve 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-self-serve configures →

Reuse

Borrowing it

Nothing to install: this file belongs to linuxfoundation/lfx-self-serve. 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-self-serve/main/.github/skills/self-serve-security-review/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/linuxfoundation/lfx-self-serve

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 self-serve-security-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/linuxfoundation/lfx-self-serve/self-serve-security-review/github.svg)](https://agentmods.dev/skills/linuxfoundation/lfx-self-serve/self-serve-security-review)
Your own site
<a href="https://agentmods.dev/skills/linuxfoundation/lfx-self-serve/self-serve-security-review"><img src="https://agentmods.dev/badge/skills/linuxfoundation/lfx-self-serve/self-serve-security-review/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 self-serve-security-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/linuxfoundation/lfx-self-serve/self-serve-security-review"><img src="https://agentmods.dev/badge/skills/linuxfoundation/lfx-self-serve/self-serve-security-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 155 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,440 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 $0.00155 $0.03440
Opus 5.5 $0.00062 $0.01376
Sonnet 5.5 $0.00031 $0.00688
Haiku 4.5 $0.00015 $0.00344

Measured 27d ago against content hash d64fc11e7b99, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

self-serve-security-review 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 27d 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.

.github/skills/self-serve-security-review/SKILL.md · 240 lines

How it starts

The opening of the file, as written. The whole thing — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Self Serve Security Review

LFX One is the authenticated front door for every persona. It holds the user's OIDC session and brokers each authenticated business request to the microservice mesh with that user's identity and bearer token. It also exposes a deliberately public surface — the data-bearing /meetings/ join pages and /public/api, plus /docs, health, and a few non-data utility routes — reachable without a user session, where handlers use M2M credentials for the upstream calls that need them (optional-auth routes may still carry a user token). auth.middleware.ts is the authoritative inventory for routes that reach the auth middleware (the OIDC login/logout/callback routes mount earlier in server.ts), so verify a route's class there before calling a public route a regression. So the failure modes that matter here are a cross-user or cross-persona authorization bypass, a session or token leak, member PII exposure, and anything that lets an anonymous caller reach more than the public surface intends. Those facts set the stakes for every security judgment.

Methodology

Run a focused, diff-aware review, not a whole-repo audit:

  1. Only new risk. Assess what this PR introduces or weakens. Do not relitigate pre-existing issues the diff does not touch.
  2. Assume hostile input, report only what is real. Flag only high-confidence, concretely exploitable findings: if you cannot trace a path from an attacker-controlled input (a request param, body, header, cookie, the returnTo URL, user- or project-supplied content) to a sensitive sink, it is not a reportable security finding.
  3. Three passes.
    • Context: discover, from the code and the repo docs at review time, the guards this application relies on around the diff (the route's auth class, the effective-identity helpers, validateAndSanitizeUrl / fetchSafeUrl, the logger's redaction, Angular's default sanitizer, constantTimeEquals). Never assume a guard exists; find it.
    • Comparative: does the change deviate from the guard patterns the surrounding code establishes? docs/reviews/knowledge-base/security.md records the patterns this repo has been bitten by — use it as a checklist of known shapes, not a substitute for tracing the actual path.
    • Assessment: trace each input to its sink and confirm a guard sits on the path the data actually takes, not three functions away.
  4. Confidence-gate every finding (1-10, report only >= 8, matching the reviewer skill's >=80% gate). A few real findings beat a speculative list.
  5. Evidence, not vibes. Each finding names the file and function, what the attacker controls, the boundary crossed, the concrete impact, and the fix.

Read the full file on GitHub · 240 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. 27d ago Changed d64fc11e7b99
  2. 2mo ago First seen · 240 lines · 155 tokens per session scan A 2cb0c05ab87b

Subscribe to this mod's changes

self-serve-security-review is a skill published in the GitHub repository linuxfoundation/lfx-self-serve (16 stars, last pushed today), licensed MIT. It adds 155 tokens to every session and 3,440 once invoked, about $0.0006 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

autoreview

Structured code review through the shared OpenClaw agent-skills installation.

openclaw/clawhub · 17 tokens

omh-code-review

This is an OMH code-review workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).

rlaope/oh-my-hermes · 48 tokens

revdiff-plan

Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…

umputun/revdiff · 84 tokens

explore-unknowns

Guide the user through a quadrant walk that maps the unknowns of a task — open by listing the known knowns, then work through known unknowns, unknown knowns, and unknown unknowns one stage at a time, ending with a complete four-quadrant map in the user's hands. Use when a request is ambiguous or underspecified, the…

dzhng/skills · 162 tokens

re0-merge

Review and land an external contribution the way this suite does: gate it against the thesis, land it with the author's credit intact, complete a new skill rather than merging it raw, then approve, credit, and explain before closing. Use when reviewing a pull request, as any collaborator or maintainer, not only the…

LilMGenius/paperthin · 70 tokens

asplos-writing-style

Use when drafting or revising ASPLOS prose — engineering the first two pages that rapid review actually reads, stating the cross-layer insight as one quotable sentence, structuring per-layer mechanism sections, writing bounded claims, and fitting everything into 11 self-contained pages that include figures and…

brycewang-stanford/Awesome-Journal-Skills · 65 tokens