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/synaptiai/agent-capability-standard/discovernpx skills add synaptiai/agent-capability-standard --skill discovergit clone --depth 1 https://github.com/synaptiai/agent-capability-standardWrote 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/synaptiai/agent-capability-standard/discover)<a href="https://agentmods.dev/skills/synaptiai/agent-capability-standard/discover"><img src="https://agentmods.dev/badge/skills/synaptiai/agent-capability-standard/discover.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 | $0.00033 | $0.02101 |
| Opus 5 | $0.00016 | $0.01051 |
| Sonnet 5 | $0.00007 | $0.00420 |
| Haiku 4.5 | $0.00003 | $0.00210 |
Grade A, and why
discover 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.
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 — 256 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Intent
Explore data or systems to find patterns, relationships, or anomalies that were not explicitly requested or expected. Discovery is open-ended exploration that surfaces novel insights rather than confirming hypotheses.
Success criteria:
- At least one non-obvious finding surfaced
- Significance level assigned to each discovery
- Novelty classified (known, suspected, surprising)
- Methodology documented for reproducibility
Compatible schemas:
schemas/output_schema.yaml
Inputs
| Parameter | Required | Type | Description |
|---|---|---|---|
search_space |
Yes | string|object | Where to look (files, data, systems, domains) |
discovery_type |
No | string | What kind of discovery: relationship, pattern, anomaly, gap, opportunity |
constraints |
No | object | Bounds on exploration (time, scope, depth) |
seed_observations |
No | array | Initial observations that may hint at discoveries |
Procedure
-
Define search space boundaries: Establish what is in and out of scope
- File patterns, directories, or data sources
- Conceptual boundaries (domain, time range)
- Depth limits (how many hops of relationships)
-
Apply discovery heuristics: Use exploration strategies systematically
- Pattern mining: Look for recurring structures, naming conventions, code patterns
- Relationship mapping: Find connections between entities (imports, calls, references)
- Anomaly detection: Identify outliers, inconsistencies, unusual structures
- Gap analysis: Find missing elements, broken links, incomplete patterns
-
Assess significance: Evaluate each finding's importance
- High: Directly actionable or explains important behavior
- Medium: Useful context or potential issue
- Low: Interesting but not actionable
-
Classify novelty: Determine how surprising each discovery is
- Known: Documented or widely understood
- Suspected: Hypothesized but not confirmed
- Surprising: Unexpected or counter to assumptions
What ships with it
2 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.
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 · 256 lines · 33 tokens per session scan A 15641db3d398
discover is a skill published in the GitHub repository synaptiai/agent-capability-standard (4 stars, last pushed 5d ago), licensed Apache-2.0. It adds 33 tokens to every session and 2,101 once invoked, about $0.0002 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.
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