What is runtime-surface-probing?

A guide for interpreting safe browser and HTTP checks against a locally running application. It helps distinguish expected responses from accidentally exposed debug pages, admin areas, or sensitive files.

Use it to check public paths, investigate non-404 responses, document exposed surfaces, and record paths that could not be tested.

Raw response codes do not show whether a reachable path is a real security problem or an intentional part of the application.

runtime-surface-probing — Skill for Codex by Eliyce

Install

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.

Any agent

npx skills add Eliyce/paqad-ai --skill runtime-surface-probing

Clone the repo

git clone --depth 1 https://github.com/Eliyce/paqad-ai

Made for: 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/eliyce/paqad-ai/runtime-surface-probing/github.svg)](https://agentmods.dev/skills/eliyce/paqad-ai/runtime-surface-probing)

Your own site

<a href="https://agentmods.dev/skills/eliyce/paqad-ai/runtime-surface-probing"><img src="https://agentmods.dev/badge/skills/eliyce/paqad-ai/runtime-surface-probing/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/eliyce/paqad-ai/runtime-surface-probing"><img src="https://agentmods.dev/badge/skills/eliyce/paqad-ai/runtime-surface-probing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 503 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.

Model	Per session	Once invoked
Fable 5.1	$0.00018	$0.00503
Opus 5	$0.00009	$0.00251
Sonnet 5	$0.00004	$0.00101
Haiku 4.5	$0.00002	$0.00050

Measured 5d ago against content hash 40eaf5fe22d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

runtime-surface-probing 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 5d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/lint-findings.sh, scripts/probe-surfaces.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

runtime/capabilities/security/skills/runtime-surface-probing/SKILL.md · 63 lines

What it actually says

What It Does

Interprets safe browser and HTTP probe results so exposed debug, admin, and sensitive-file surfaces become actionable findings instead of raw status codes.

Use This When

Use this during pentest runs when the local project is already running and safe runtime probes have been executed.

Inputs

Read the runtime artifacts first.
Read references/runtime-surface-checks.md before deciding whether a reachable path is risky.
Read stack-specific tool references for browser validation when the stack ships them.

Procedure

Run scripts/probe-surfaces.sh <base-url> — GET-only probe of assets/probe-paths.txt; exits 1 if the base is unreachable.
Review the status | path output and decide which non-404 results indicate unintended public exposure vs expected local-only behavior.
Format findings per assets/output.template.md — every finding must cite path and numeric status code.
Validate with scripts/lint-findings.sh.
Record blocked probes (base unreachable, paths skipped) under ## Coverage Notes, not as findings.

Output Contract

Match assets/output.template.md: severity, surface, Path: \/foo`, Status: NNN`, Required action.
Output must pass scripts/lint-findings.sh (exit 0).

Escalate / Stop Conditions

Ask when the provided target URL does not appear to correspond to the project under review.
Warn when debug or sensitive-file paths are reachable even in local mode because deployment drift may expose them elsewhere.
Do not escalate harmless 404s as findings.

Resources

references/runtime-surface-checks.md
scripts/probe-surfaces.sh
scripts/lint-findings.sh
assets/probe-paths.txt
assets/output.template.md
agents/openai.yaml

Files

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.

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.

5d ago First seen · 63 lines · 18 tokens per session scan A 40eaf5fe22d0

Subscribe to this mod's changes

runtime-surface-probing is a skill published in the GitHub repository Eliyce/paqad-ai (8 stars, last pushed yesterday), licensed MIT. It adds 18 tokens to every session and 503 once invoked, about $0.0001 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.

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