Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/inkeep/open-knowledge-skillsnpx agentmods add skills/inkeep/open-knowledge-skills/research-with-sourcesWrote 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/inkeep/open-knowledge-skills/research-with-sources)<a href="https://agentmods.dev/skills/inkeep/open-knowledge-skills/research-with-sources"><img src="https://agentmods.dev/badge/skills/inkeep/open-knowledge-skills/research-with-sources/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/inkeep/open-knowledge-skills/research-with-sources"><img src="https://agentmods.dev/badge/skills/inkeep/open-knowledge-skills/research-with-sources.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Excessive Agency · line 34 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00136 | $0.05006 |
| Opus 5 | $0.00068 | $0.02503 |
| Sonnet 5 | $0.00027 | $0.01001 |
| Haiku 4.5 | $0.00014 | $0.00501 |
Grade A, and why
research-with-sources 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 9d 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.
- If a fetch returns an obvious *summary* instead of the raw bytes (some LLM-backed fetch tools do this), note it and try a raw alternative (`curl -sL <url>`, or ask the user to paste). How it starts
The opening of the file, as written. The whole thing — 381 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research — gather sources and write provisional findings
This skill is pack guidance. The platform
/open-knowledgeskill (read/write/preview/linking/grounding rules) still governs every markdown operation — this layers the procedure on top.
Conduct evidence-driven research on a topic and produce a provisional research article under research/. Provisional, not canonical: research articles capture findings, trade-offs, and open questions at a point in time. They are promoted to canonical articles via the /consolidate-notes skill only when decisions solidify.
The content directory is the resolved content.dir — read it with config({ key: 'content.dir' }) if you don't already know it. Paths below are relative to it.
Three paths
- Path A — Research article (DEFAULT): A persistent provisional article with
status: draftand an inlinesources:frontmatter list pointing at raw sources captured via the ingest procedure. This is the default unless the user explicitly opts out. - Path B — Direct answer: Findings delivered in conversation only. Requires explicit user request (e.g., "just tell me", "no doc needed", "quick answer").
- Path C — Update existing research: Surgical additions/corrections to an existing research article. Triggered when the user references an existing research doc or says "update/refresh/extend."
Path A is the default because provisional articles compound over time; spoken answers do not.
Legacy reads: Existing articles may use status: provisional and string paths under sources:. Treat those as draft research and source resources. Do not mass-rewrite them; new writes use the OKF shapes below.
Autonomy mode
| Mode | Behavior | How entered |
|---|---|---|
| Supervised (default) | Stop at the scoping gate for user rubric confirmation. Route coverage decisions interactively. | Default when a user drives the session. |
| Headless | Auto-confirm rubric after proposing it. Auto-select routing decisions. Skip interactive prompts. All other gates (scan, analysis, validation, grounding) still enforced. | Explicit "don't wait for me", "just proceed", "run headless" — or non-interactive container environments. |
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.
- 9d ago First seen · 381 lines · 136 tokens per session scan A 4161b1bf2df6
research-with-sources is a skill published in the GitHub repository inkeep/open-knowledge-skills (8 stars, last pushed yesterday), licensed MIT. It adds 136 tokens to every session and 5,006 once invoked, about $0.0007 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.
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