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 skills add UnboundCompute/security-agent-skills --skill hunting-expression-language-injectiongit clone --depth 1 https://github.com/UnboundCompute/security-agent-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/unboundcompute/security-agent-skills/hunting-expression-language-injection)<a href="https://agentmods.dev/skills/unboundcompute/security-agent-skills/hunting-expression-language-injection"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/hunting-expression-language-injection/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/unboundcompute/security-agent-skills/hunting-expression-language-injection"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/hunting-expression-language-injection.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00145 | $0.01906 |
| Opus 5.5 | $0.00058 | $0.00762 |
| Sonnet 5.5 | $0.00029 | $0.00381 |
| Haiku 4.5 | $0.00015 | $0.00191 |
Grade A, and why
hunting-expression-language-injection 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 1mo 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hunting expression-language injection: when a string is evaluated as a program
Expression languages exist to let configuration, templates, and rules evaluate small snippets at runtime, Spring Expression Language, OGNL, MVEL, JEXL, and the Jakarta and JSP EL contexts among them. Most expose far more than arithmetic: type resolution, method invocation, and a handle to the runtime. When untrusted input is concatenated into, or supplied as, an expression that one of these evaluators compiles, the attacker's text is executed with the evaluator's full power, which typically reaches process execution or reflection. This class caused some of the largest breaches on record. You find it by locating every runtime expression evaluation and asking whether untrusted input shapes the expression rather than only supplying a bound variable.
When to use
- The application evaluates expressions at runtime through an EL, OGNL, MVEL, JEXL, or a rules engine.
- Untrusted input is concatenated into an expression string or supplied as an expression to evaluate.
- A framework feature (data binding, templating, routing, error pages) evaluates attacker-reachable EL.
Scope check
Test expression evaluation only against applications you own or are authorized to assess, on non-production infrastructure. A confirming expression runs on the target and typically reaches code execution, so treat every proof as a live intrusion inside the authorized scope. If you can't name the authorization, stop.
The loop
- Establish the expression evaluators first. Inventory every place a string is evaluated as an expression: explicit calls to an expression parser, template engines backed by an EL, framework features that evaluate EL (data binding, view resolution, error templates, routing rules), and rules engines. This is the false-positive killer: an evaluator fed only fixed developer strings with untrusted data passed as bound variables is not injectable. Name the evaluators first.
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.
- 1mo ago First seen · 137 lines · 145 tokens per session scan A 6bdbcf170967
hunting-expression-language-injection is a skill published in the GitHub repository UnboundCompute/security-agent-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 145 tokens to every session and 1,906 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 2026-09-05.
Other skills, from other repositories
prodcheck-review
Review this codebase against the prodcheck pre-production checklists — security, performance, scale, integrations, post-launch readiness and people. Use when asked to check whether a project is ready to ship, to audit an area before launch, or to work through a specific checklist. Produces evidence with file:line…
integrate-arcjet-guard-genkit
Integrate Arcjet security into a Genkit JS agent using @arcjet/guard — wrap ai.defineTool, put guardMiddleware on generate({ use }) for unwrapped / MCP / filesystem tools, and read a caller-owned id from generate({ context }). Use when asked to add Arcjet to genkit, rate limit its tools, screen inbound messages, or…
integrate-arcjet-guard-tanstack-ai
Integrate Arcjet security into a TanStack AI chat() app using @arcjet/guard — put guardMiddleware first on chat({ middleware }) so onBeforeToolCall gates tools, and read a caller-owned id from chat({ context }). Use when asked to add Arcjet to TanStack AI, rate limit its tools, screen inbound messages, or block prompt…
integrate-arcjet-guard-claude-managed-agents
Integrate Arcjet security into Claude Managed Agents (hosted REST+SSE, beta managed-agents-2026-04-01) using @arcjet/guard — screen user.message / initialevents before sessions.events.send, and gate custom tools on agent.customtooluse. Use when asked to add Arcjet to Claude Managed Agents, rate limit custom tools, or…
linear-claude-skill
Manage Linear issues, projects, and teams.
varlock-claude-skill
Secure environment variable management ensuring secrets are never exposed in Claude sessions, terminals, logs, or git commits.