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 feniix/pi-extensions --skill exa-research-plannergit clone --depth 1 https://github.com/feniix/pi-extensionsWrote 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/feniix/pi-extensions/exa-research-planner)<a href="https://agentmods.dev/skills/feniix/pi-extensions/exa-research-planner"><img src="https://agentmods.dev/badge/skills/feniix/pi-extensions/exa-research-planner/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/feniix/pi-extensions/exa-research-planner"><img src="https://agentmods.dev/badge/skills/feniix/pi-extensions/exa-research-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00079 | $0.04970 |
| Opus 5.5 | $0.00032 | $0.01988 |
| Sonnet 5.5 | $0.00016 | $0.00994 |
| Haiku 4.5 | $0.00008 | $0.00497 |
Grade A, and why
exa-research-planner 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 13d 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 — 465 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Exa Research Planner
Use this skill to turn a vague or broad research request into a high-quality Exa research workflow, then optionally execute web_research_exa when the user clearly wants deep synthesis.
This skill has two jobs:
- Research planning — sharpen the question, decide whether cheap discovery is useful, track criteria/source/gap state with the local
exa_research_*planning tools, and draft a strong deep-research payload. - Explicit deep-research execution — when the user directly asks for deep research or approves a draft, run
web_research_exaand return a source-grounded synthesis.
Pi cycle branch
Pi research cycles are enabled when exa_research_status accepts
action: "start" (its description says so). Then read the
durable cycle workflow
and use this branch instead of the standalone fast path/payload defaults below:
- For a research request with no active cycle, before searching offer one
short choice: a quick answer now from a few standalone searches, or guided
deep research (plan together, readable scope/cost proposal, operator
approval in a host dialog, Exa Agent run in the background with a completion
notice). Offer guided research only when
web_research_exais available, and wait for the user's choice. Skip the offer when the user already chose. - Inspect status. For a guided request with no active cycle, start one
yourself with
exa_research_statusaction: "start"and the topic, or explicitly resume saved state. Never route a guided request to standalone tools. - Clarify only materially useful questions, reuse answers already given, and
record goal, scope, criteria, gaps, labeled assumptions and a draft-07 task
contract with
exa_research_step. - Exploratory retrieval is optional paid work: name it before calling it. The host dialog asks the operator when no grant covers it; a declined dialog is a pause to explain, not a reason to switch tools.
- Attribute exploratory calls to the cycle, then explicitly curate candidates or external sources. Selected evidence is query context, not processing rows.
- Call
exa_research_summarymode: "proposal"and present the readable proposal. Submit withweb_research_exaresearchMode: "submit", the activecycleIdand thatproposalId; the host dialog decides. Your words, flags or amounts are never consent.researchMode: "active"is refused withGUIDED_SUBMISSION_REQUIRED; usesubmit. A changed plan needs a new proposal; explainAPPROVAL_NOT_GRANTED,APPROVAL_UNAVAILABLE,PROPOSAL_STALEandESTIMATE_UNAVAILABLEpauses instead of working around them. - An acknowledged submission returns the saved Exa run ID while the job is
pending and registers host-owned background monitoring. Report the run ID and
that a completion notice will arrive in this session; let the user keep
chatting. Do not poll, resubmit or invent success after
SUBMISSION_UNKNOWN. If the result says monitoring is paused, say so and offer explicitresearchMode: "recover"or resume. When anexa-research-completionmessage arrives, that turn is a report: use status/summary only and never submit, retry or replace; a processing failure uses one explicit same-run recovery. After a restart, saved cycles are only discovered; when the user asks to continue, resume explicitly withexa_research_statusaction: "resume"and the cycle ID, which also re-registers paused monitoring and delivers pending notices. Resume is not spending consent. - After success, use
exa_research_summarywithmode: "brief"or"source_pack"for findings, recorded gaps, assumptions and classified usage. Assess evidence yourself: generated claims/JSON and remote success do not satisfy criteria or verify billing. - Stop after success. Missing results use explicit same-run recovery; confirmed failure/unknown work uses only the documented explicitly funded retry/ replacement policy. Further research after success needs a new cycle and operator permission. Paper retrieval belongs before completion; remaining paper gaps are reported, not autonomously fetched afterward.
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.
- 13d ago Changed · +7 lines c28430bfacc5
- 14d ago Changed · +50 lines 82697184db77
- 27d ago Changed · +6 lines 73ff792b66fe
- 1mo ago First seen · 402 lines · 79 tokens per session scan A faae8a9a1449
exa-research-planner is a skill published in the GitHub repository feniix/pi-extensions (25 stars, last pushed 2d ago), licensed MIT. It adds 79 tokens to every session and 4,970 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-30.
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