claude-codex-settings is a collection of configurations and reusable extensions for Claude Code, OpenAI Codex, Cursor, and related coding tools. Developers use its skills, commands, hooks, agents, plugins, and MCP servers to shape coding-agent workflows and connect alternative model APIs. The catalogue entries are components of this collection that can be installed into supported coding tools.
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 fcakyon/claude-codex-settings --skill openobserve-apigit clone --depth 1 https://github.com/fcakyon/claude-codex-settingsWrote 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/fcakyon/claude-codex-settings/openobserve-api)<a href="https://agentmods.dev/skills/fcakyon/claude-codex-settings/openobserve-api"><img src="https://agentmods.dev/badge/skills/fcakyon/claude-codex-settings/openobserve-api/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/fcakyon/claude-codex-settings/openobserve-api"><img src="https://agentmods.dev/badge/skills/fcakyon/claude-codex-settings/openobserve-api.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 14 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 15 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Data Exfiltration · line 43 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 72 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 92 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 104 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 124 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Prompt Injection · line 207 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 212 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 213 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 214 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 216 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Data Exfiltration · line 255 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 265 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 313 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00108 | $0.04217 |
| Opus 5.5 | $0.00043 | $0.01687 |
| Sonnet 5.5 | $0.00022 | $0.00843 |
| Haiku 4.5 | $0.00011 | $0.00422 |
Grade B, and why
openobserve-api scanned grade B with 2 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl $AUTH -X PUT -H 'Content-Type: application/json' "$BASE/streams/<stream>/settings" -d '{"partition_keys":["host_name"]}' Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Programmatic OpenObserve usage for AI agents. Talk to any OpenObserve instance (Cloud or self-hosted) using `curl` and the documented REST API. No CLI required — there is no first-party OpenObserve CLI. How it starts
The opening of the file, as written. The whole thing — 358 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenObserve REST API Skill
Programmatic OpenObserve usage for AI agents. Talk to any OpenObserve instance (Cloud or self-hosted) using curl and the documented REST API. No CLI required — there is no first-party OpenObserve CLI.
Retrieval First
Your knowledge of OpenObserve API shapes may be outdated. Prefer retrieval over pre-training:
| Source | How to retrieve | Use for |
|---|---|---|
| Docs repo | gh api repos/openobserve/openobserve-docs/contents/docs/reference/api/{path}.md -q .content | base64 -d |
Authoritative request/response samples |
| Server source | gh api repos/openobserve/openobserve/contents/src/handler/http/request/dashboards/mod.rs -q .content | base64 -d |
Endpoint paths, query params, status codes |
| Panel schema | gh api repos/openobserve/openobserve/contents/src/config/src/meta/dashboards/v8/mod.rs -q .content | base64 -d |
Exact panel JSON structure (Rust structs) |
When docs and server source disagree, trust the server source — handlers ship faster than docs.
1. Auth
HTTPS basic auth with email + password. There is no token endpoint.
# Method 1: curl -u shorthand
curl -u "[email protected]:PASSWORD" "https://eu1.openobserve.ai/api/<org>/streams"
# Method 2: explicit header
TOKEN=$(printf '%s' "[email protected]:PASSWORD" | base64)
curl -H "Authorization: Basic $TOKEN" "https://eu1.openobserve.ai/api/<org>/streams"
Endpoints below assume BASE=https://<host>/api/<org> and AUTH="-u [email protected]:PASSWORD".
2. Search / Query — POST $BASE/_search
Optional query string ?type=logs|metrics|traces (default logs).
curl $AUTH -H 'Content-Type: application/json' \
"$BASE/_search?type=logs" \
-d '{
"query": {
"sql": "SELECT host_name, COUNT(*) AS n FROM \"my_stream\" GROUP BY host_name ORDER BY n DESC",
"start_time": 1777000000000000,
"end_time": 1777999999000000,
"from": 0,
"size": 100
},
"search_type": "ui"
}'
What ships with it
16 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.
- references/around.md 2.5 KB
- references/bulk.md 7.0 KB
- references/delete.md 11 KB
- references/index.md 1.7 KB
- references/json.md 6.8 KB
- references/list.md 2.7 KB
- references/loki.md 2.8 KB
- references/multi.md 5.2 KB
- references/otlp.md 4.4 KB
- references/recipes/build-dashboard.sh 1.5 KB runs code
- references/recipes/search-logs.sh 683 B runs code
- references/recipes/update-panel.sh 884 B runs code
- references/schema.md 2.6 KB
- references/search.md 13 KB
- references/setting.md 5.8 KB
- references/value.md 1.9 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.
- 1mo ago First seen · 358 lines · 108 tokens per session scan B 29c0ea0cdcd2
openobserve-api is a skill published in the GitHub repository fcakyon/claude-codex-settings (1,189 stars, last pushed yesterday), licensed Apache-2.0. It adds 108 tokens to every session and 4,217 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
lov-optimize-tauri-backend
Optimize Tauri backend architecture and development ergonomics for Tauri 2 apps, especially Rust restart pain, oversized src-tauri/src/lib.rs files, excessive #[tauri::command] surfaces, stringly invoke APIs, long IPC streams, and dev-state recovery. Use when the user asks about Tauri hot reload, Rust-side restarts…
lov-cli-creator
A tool-building workflow that turns a local project into an installable command-line program. The program exposes the project's real backend, returns predictable JSON, documents how it works, and includes runnable tests.
lov-cli2anything
A tool for turning authorized observations of a website’s API into an OpenAPI description, Swagger interface, JavaScript SDK, or local command-line tool. OpenAPI is a machine-readable description of how an API can be called.
lov-api-creator
A development workflow for adding an app's API gateway support to a uni-api FastAPI backend and its uni-app frontend. It creates grouped gateway endpoints and a shared frontend calling layer.
lov-integrate-lovstudio-llm-skill
An integration with LovStudio.AI’s OpenAI-compatible API for text chat, speech-to-text, speech translation, speech generation, and live audio sessions. It returns structured results that other application code can use.
lov-backend
A backend workflow for adding an app's API gateway endpoints to a uni-api project built with FastAPI. It creates the app's package and router, registers them, and places the endpoints in a documented group.