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 ChizhongWang/veriglow-agent-map-skill --skill citeanythinggit clone --depth 1 https://github.com/ChizhongWang/veriglow-agent-map-skillWrote 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/chizhongwang/veriglow-agent-map-skill/citeanything)<a href="https://agentmods.dev/skills/chizhongwang/veriglow-agent-map-skill/citeanything"><img src="https://agentmods.dev/badge/skills/chizhongwang/veriglow-agent-map-skill/citeanything/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/chizhongwang/veriglow-agent-map-skill/citeanything"><img src="https://agentmods.dev/badge/skills/chizhongwang/veriglow-agent-map-skill/citeanything.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 | $0.00049 | $0.02503 |
| Opus 5 | $0.00024 | $0.01252 |
| Sonnet 5 | $0.00010 | $0.00501 |
| Haiku 4.5 | $0.00005 | $0.00250 |
Grade A, and why
citeanything scanned grade A with 1 finding 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- curl How it starts
The opening of the file, as written. The whole thing — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CiteAnything — Verifiable Evidence Citations
CiteAnything creates verifiable, replayable citations for every data claim. Each citation stores the source URL, a text anchor for highlight positioning, and triggers an automatic screenshot as visual proof.
When to Use This Skill
Use this skill after you have obtained data (from a web API, web page, or KB document) and need to:
- Create a verifiable citation linking a claim to its source
- Generate a
[@ev:TOKEN]marker to embed in your response - Enable the user to click through and see the original source with the relevant text highlighted
Every data claim in your response must have a citation. Never skip the citation step.
API Endpoint
POST https://citeanything.app/api/citation
Authentication: Authorization: Bearer $USER_JWT
Request Fields
| Field | Type | Required | Default | Description |
|---|---|---|---|---|
claim |
string | Yes | — | The claim being cited (e.g. "Tesla's total revenues were $94.8B") |
source_url |
string | Yes | — | URL of the data source |
quoted_text |
string | No | "" |
Verbatim excerpt (1-3 sentences) from the source. Must be copied exactly — never paraphrase. |
citation_type |
string | No | "text" |
"text" for text citations, "table" for table citations |
action_steps |
string | No | "" |
JSON string of browser action steps (for dynamic pages) |
anchor |
string | No | "" |
Short verbatim excerpt (5-10 words) for highlight positioning. Must be exact copy from source. |
row_anchor |
string | No | "" |
Table citation: row identifier |
col_anchor |
string | No | "" |
Table citation: column identifier |
selection_scope |
string | No | "cell" |
Table citation: "cell" or "row" |
source_type |
string | No | "web" |
"web" for web sources, "kb" for knowledge base documents |
kb_file |
string | No | "" |
KB document file stem (e.g. "bd922df1043e") |
page |
string | No | "" |
KB document page number for highlight positioning |
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.
- 10d ago First seen · 262 lines · 49 tokens per session scan A 94dab1410716
citeanything is a skill published in the GitHub repository ChizhongWang/veriglow-agent-map-skill (2 stars, last pushed 15d ago), licensed MIT. It adds 49 tokens to every session and 2,503 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
performing-api-inventory-and-discovery
Performs API inventory and discovery to identify all API endpoints in an organization's environment including documented, undocumented, shadow, zombie, and deprecated APIs. The tester uses passive traffic analysis, active scanning, DNS enumeration, JavaScript analysis, and cloud resource inventory to build a…
daiso-cli
A command-line interface for searching Daiso and related Korean shopping, store, food, cinema, and convenience-store data through the Daiso project. It can return structured JSON for searches and comparisons.
pm-sim
This skill has been renamed. Install the new version.
cortex-mem-mcp
Persistent memory enhancement for AI agents. Store conversations, search memories with semantic retrieval, and recall context across sessions. Use this skill when you need to remember user preferences, past conversations, project context, or any information that should persist beyond the current session. Provides…
meeting-prep
Researches meeting attendees and their companies before any meeting using real-time web data. Surfaces roles, recent activity, company context, and talking points — then maps cross-attendee relationships. Use this skill when the user asks to prepare for a meeting, research someone they're meeting, or wants context on…
healthcare-providers-enrich
Fills gaps in existing healthcare practitioner lists — adds missing phone numbers, credentials, specialties, contact info, education, reviews, and regulatory data. Triggers: "enrich my provider list", "fill in missing data", "add phone numbers to these doctors", "complete this practitioner database", "enrich CRM…