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.
npx agentmods add skills/photostructure/coding-skills/web-security-reviewnpx skills add photostructure/coding-skills --skill web-security-reviewgit clone --depth 1 https://github.com/photostructure/coding-skillsWrote 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/photostructure/coding-skills/web-security-review)<a href="https://agentmods.dev/skills/photostructure/coding-skills/web-security-review"><img src="https://agentmods.dev/badge/skills/photostructure/coding-skills/web-security-review.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00172 | $0.03978 |
| Opus 5 | $0.00086 | $0.01989 |
| Sonnet 5 | $0.00034 | $0.00796 |
| Haiku 4.5 | $0.00017 | $0.00398 |
Grade A, and why
web-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 4d 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 — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web and Electron Security Review (JavaScript / TypeScript)
Leaf-mode guard
If the task identifies your role as leaf-reviewer or sets
delegation-budget: 0, read and follow
references/validation-pass.md, validate only
the supplied candidates, return the verdicts to the caller, and stop before the
full workflow below.
Identify exploitable security vulnerabilities in JavaScript/TypeScript web and Electron desktop applications. Reason about the code the way a security researcher would — trace data flow, understand framework and runtime protections, and report only findings you can justify with concrete proof. Signal over noise.
This skill is a best-of-three composite. See ATTRIBUTION.md.
Scope
In scope: Node.js/TypeScript backends (Express, NestJS, Fastify, Next.js API routes), browser/SSR frontends (React, Vue, Angular, Next.js), and Electron main, preload, renderer, worker, and utility-process code. Server-side, client-side, and desktop JS/TS, plus the config, packaging, CI/CD, and IaC files that ship with them.
Out of scope: other languages (defer to a language-specific reviewer) and the
exclusions in references/false-positives.md.
Report vs. research — the prime directive
- Report on: only the file, diff, or path the user asked about.
- Research: the entire codebase to establish the facts before reporting.
Before flagging anything, trace where the input actually comes from, whether it is validated/sanitized upstream, how it is configured, and what framework protection applies. Never report on pattern-match alone. Investigate first, report second.
Reporting gate: proof, not probability
Report a finding only when you can construct concrete proof appropriate to the class. If you can't describe how the bug actually manifests, it isn't a finding. Use one of these proof shapes:
- Data-flow flaw: the exact attacker-controlled input, its route through the code, and the security-sensitive sink it reaches.
- Exposure flaw: the sensitive value or resource, where an attacker can observe or retrieve it, and why the value is real and security-relevant. Never validate a suspected credential against a live service.
- Configuration flaw: the effective unsafe setting, the attacker capability or reachable operation it affects, the security boundary it removes, and the concrete resulting impact.
What ships with it
12 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.
- agents/openai.yaml 248 B
- ATTRIBUTION.md 4.6 KB
- LICENSE 3.1 KB
- references/database-deployment-security.md 9.2 KB
- references/electron-threats.md 14 KB
- references/false-positives.md 9.7 KB
- references/javascript-web-patterns.md 13 KB
- references/oidc-sso-review.md 9.9 KB
- references/report-format.md 3.5 KB
- references/self-hosting-hardening.md 15 KB
- references/validation-pass.md 1.2 KB
- references/vuln-classes.md 26 KB
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.
- 4d ago First seen · 282 lines · 172 tokens per session scan A 0adc83a4bd06
web-security-review is a skill published in the GitHub repository photostructure/coding-skills (3 stars, last pushed 4d ago), licensed MIT. It adds 172 tokens to every session and 3,978 once invoked, about $0.0009 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.
Other skills, from other repositories
decision-records
Creates, supersedes and validates decision records (ADRs) against the convention a collection already follows, instead of imposing a published one. Use when the user wants to record a decision, write an ADR, supersede an existing decision, audit or lint a decisions folder, check that an ADR index is in sync, or asks…
github-pr-review
Handles PR review comments and feedback resolution. Use when user wants to resolve PR comments, handle review feedback, fix review comments, address PR review, check review status, respond to reviewer, verify PR readiness, review PR comments, analyze review feedback, evaluate PR comments, assess review suggestions, or…
privacy-guard
Prevents private infrastructure details (node hostnames, internal project names, local usernames and personal emails, absolute home paths, private and VPN IP ranges) from leaking into public repositories through commits, PRs, docs or release artifacts. Use when working in a public or soon-to-be-public repo, before…
github-pr-creation
Creates GitHub Pull Requests with automated validation and task tracking. Use when user wants to create PR, open pull request, submit for review, or check if ready for PR. Analyzes commits, validates task completion, generates Conventional Commits title and description, suggests labels. NOTE - for merging existing…
github-pr-merge
Merges GitHub Pull Requests after validating pre-merge checklist. Use when user wants to merge PR, close PR, finalize PR, complete merge, approve and merge, or execute merge. Runs pre-merge validation (tests, lint, CI, comments), confirms with user, merges with proper format, handles post-merge cleanup.
git-commit
Creates git commits following Conventional Commits format with type/scope/subject. Use when user wants to commit changes, create commit, save work, or stage and commit. Enforces project-specific conventions from CLAUDE.md.