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 sungurerdim/dev-skills --skill ds-researchgit clone --depth 1 https://github.com/sungurerdim/dev-skillsWrote 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/sungurerdim/dev-skills/ds-research)<a href="https://agentmods.dev/skills/sungurerdim/dev-skills/ds-research"><img src="https://agentmods.dev/badge/skills/sungurerdim/dev-skills/ds-research/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/sungurerdim/dev-skills/ds-research"><img src="https://agentmods.dev/badge/skills/sungurerdim/dev-skills/ds-research.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 | $0.00032 | $0.03409 |
| Opus 5 | $0.00016 | $0.01705 |
| Sonnet 5 | $0.00006 | $0.00682 |
| Haiku 4.5 | $0.00003 | $0.00341 |
Grade A, and why
ds-research 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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/ds-research
AI models hallucinate sources, cite outdated data, can't distinguish blog post from peer-reviewed study. Skill searches, scores source reliability, synthesizes with citations.
Smart Research — Parallel search, tier sources, synthesize, recommend.
Completion Evidence — applies to every phase: Report
done/OKonly with the machine-checkable evidence the gates name — the exact command run and its observed output (orfile:linediff). Missing evidence → reportINCOMPLETEplus what is missing. Self-assessment is never evidence. (This band repeats at file end by design — both copies are normative.)
Triggers
- User runs
/ds-research - User asks to research a topic, compare technologies, or investigate solutions
- User asks "what's the best way to...", "compare X vs Y", or "what are the options for..."
- User needs evidence-based analysis with source verification
Triggers — INVOKE / DON'T INVOKE
| INVOKE | DON'T INVOKE |
|---|---|
| "compare X vs Y", "find best library for {task}" | "implement what you find" (→ manual / target skill) |
| "research auth best practices" | "design auth flow concretely" (→ ds-backend --design) |
| "academic / multi-source comparison" | "marketing competitor analysis" (→ external / manual) |
| "investigate solutions with CRAAP scoring" | "decide the implementation" (→ user owns the choice) |
| "score sources without building a report" | "produce a sourced HTML brief/report" (→ ds-brief) |
Contract
Dimensions: none (carrier)
- Searches both local codebase files and web sources.
- Only includes verified, accessible sources and URLs. Presents T5/T6 with confidence caveats. Resolves contradictions when sources disagree. Cites specific source tiers in every synthesis.
- Standalone: uses blueprint when available, own analysis when absent. Web tracks dispatch
ds-research-agentwhen available (same handoff contract as ds-brief Phase 2), inline search when absent — identical methodology either way. Local-codebase track always runs skill-side. - State-exempt: single regenerable artifact — each run reproduces its result from scratch; no
ds/audit/state persisted (only ds-blueprint/ds-frontend/ds-mobile/ds-ship/ds-tune keep state). - Full accounting enforced: every finding and planned check ends in an explicit disposition (fixed / skipped + reason / only you can do); summary totals balance.
- Pre-existing / out-of-scope errors detected during work are NOT skipped — fixed inline or escalated with concrete blocker.
What ships with it
1 file 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 Changed · -3 lines 38832ba97a48
- 8d ago First seen · 186 lines · 32 tokens per session scan A 915e68af84b7
ds-research is a skill published in the GitHub repository sungurerdim/dev-skills (1 stars, last pushed 3d ago), licensed MIT. It adds 32 tokens to every session and 3,409 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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