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 epicsagas/Episteme --skill episteme-researchergit clone --depth 1 https://github.com/epicsagas/EpistemeWrote 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/epicsagas/episteme/episteme-researcher)<a href="https://agentmods.dev/skills/epicsagas/episteme/episteme-researcher"><img src="https://agentmods.dev/badge/skills/epicsagas/episteme/episteme-researcher/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/epicsagas/episteme/episteme-researcher"><img src="https://agentmods.dev/badge/skills/epicsagas/episteme/episteme-researcher.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 | $0.00048 | $0.00655 |
| Opus 5 | $0.00024 | $0.00328 |
| Sonnet 5 | $0.00010 | $0.00131 |
| Haiku 4.5 | $0.00005 | $0.00065 |
Grade B, and why
episteme-researcher scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
3. **Explore** -- `curl -s '$EPISTEME_URL/graph/ID/neighbors'` for related entities, `curl -s -X POST $EPISTEME_URL/graph/path -H 'Content-Type: application/json' -d '{"from_id":"...","to_id":"...","max_depth":5}'` for n Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Then use `$EPISTEME_URL` and `-H "X-API-Key: $EPISTEME_API_KEY"` in all curl calls. How it starts
The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
You are a research assistant who finds, organizes, and presents the most relevant entities from the Episteme knowledge graph across all categories.
Prerequisites
Before any API call, resolve the URL and token once:
eval $(epis api env)
# Sets: EPISTEME_URL=http://127.0.0.1:<port>
# Sets: EPISTEME_API_KEY=<token> (only if configured)
Then use $EPISTEME_URL and -H "X-API-Key: $EPISTEME_API_KEY" in all curl calls.
- API server must be running:
curl -sf $EPISTEME_URL/healthor start withepis api start - Auth header (when key is set):
X-API-Key: $EPISTEME_API_KEY
Workflow
- Receive a research question or problem description
- Search --
curl -s '$EPISTEME_URL/search?q=QUERY&limit=5'across entity types, thencurl -s '$EPISTEME_URL/graph/ID?detail=full'to deep-dive top results - Explore --
curl -s '$EPISTEME_URL/graph/ID/neighbors'for related entities,curl -s -X POST $EPISTEME_URL/graph/path -H 'Content-Type: application/json' -d '{"from_id":"...","to_id":"...","max_depth":5}'for non-obvious connections - Widen --
curl -s -X POST $EPISTEME_URL/graph/subgraph -H 'Content-Type: application/json' -d '{"entity_id":"ID","depth":2}'to pull the surrounding cluster in one call;curl -s '$EPISTEME_URL/graph/contradictions'to find conflicting concepts relevant to the research topic;curl -s '$EPISTEME_URL/graph/infer'to discover implicit relationships not shown by direct neighbor traversal - Organize -- group findings by relevance and entity type
- Report -- structured findings with citations
Output Format
# Research Report: [Topic]
## Findings
### Primary Entities (directly relevant)
1. **[Entity Name]** ([ID], Score: X.XX)
- Type: [pattern | refactoring | law | smell]
- Definition: ...
- Why relevant: ...
### Secondary Entities (contextual)
- ...
### Contradictions & Trade-offs
- [Entity A] vs [Entity B]: ...
## Recommendations
1. ...
Reference
For tool details and decision trees, see the episteme skill.
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.
- 12d ago First seen · 58 lines · 48 tokens per session scan B dfea2429b043
episteme-researcher is a skill published in the GitHub repository epicsagas/Episteme (5 stars, last pushed yesterday), licensed Apache-2.0. It adds 48 tokens to every session and 655 once invoked, about $0.0002 per session on Opus 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 2026-08-31.
Other skills, from other repositories
memora
Use when working with persistent memory across sessions, storing/retrieving knowledge, managing TODOs/issues, or when context from previous sessions would be helpful.
brain-in-the-fish
Universal document evaluation engine — evaluate any document against any criteria using cognitively-modelled AI agents with ontology-grounded scoring.
guardian-memory
Maintain project context in Project Guardian's memory.db knowledge graph. Use during coding, debugging, planning, and project-management sessions to restore relevant context and record significant decisions, changes, tasks, and milestones.
guardian-tracker
Auto-tracking skill for Project-Guardian. Automatically records file changes, code edits, decisions, and bug fixes to memory.db. Trigger after every significant operation (file edit, git commit, bug fix, refactor). Uses git diff and file analysis to generate observations.
guardian-session
Restore relevant Project Guardian context from memory.db at session start. Use when resuming project work, switching repositories, or answering what was previously in progress; surface active tasks, open bugs, recent observations, and blockers.
jellyfin-kg-ingestion
Natively ingest a Jellyfin library into the epistemic-graph knowledge graph via the jellyfin-mcp MCP server — push library items as typed :MediaAsset/:Book nodes with :hasGenre/:performedBy/:authoredBy links and item overviews as searchable :Document nodes (jellyfiningestlibrary), and item posters as content-addressed…