What is research-feishu-report-cocreate?

A workflow for producing evidence-based topic reports with a defined audience and delivery format. It supports gathering source material, comparing viewpoints, organizing findings, and optionally delivering the result in Feishu or HTML.

Use it to create structured research dossiers and reader-focused reports, including local-only research packets or optional Feishu and HTML versions. It is intended for substantial topic reports, not casual lookups.

Research can become a collection of disconnected notes without a clear purpose or quality checks. This workflow sets requirements for the report, evidence, structure, and review before deeper research begins.

research-feishu-report-cocreate — Skill for Claude Code by leohuang042

Install

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.

Any agent

npx skills add leohuang0423/deepresearch-report-feishu-skill --skill research-feishu-report-cocreate

Clone the repo

git clone --depth 1 https://github.com/leohuang0423/deepresearch-report-feishu-skill

Made for: Claude Code.

Or install deepresearch-report-feishu-skill, the plugin that ships this one along with the rest of its 1 skill.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/leohuang0423/deepresearch-report-feishu-skill/research-feishu-report-cocreate/github.svg)](https://agentmods.dev/skills/leohuang0423/deepresearch-report-feishu-skill/research-feishu-report-cocreate)

Your own site

<a href="https://agentmods.dev/skills/leohuang0423/deepresearch-report-feishu-skill/research-feishu-report-cocreate"><img src="https://agentmods.dev/badge/skills/leohuang0423/deepresearch-report-feishu-skill/research-feishu-report-cocreate/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/leohuang0423/deepresearch-report-feishu-skill/research-feishu-report-cocreate"><img src="https://agentmods.dev/badge/skills/leohuang0423/deepresearch-report-feishu-skill/research-feishu-report-cocreate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 959 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00046	$0.00959
Opus 5	$0.00023	$0.00479
Sonnet 5	$0.00009	$0.00192
Haiku 4.5	$0.00005	$0.00096

Measured 12d ago against content hash 0105156d5bfc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

research-feishu-report-cocreate 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 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.

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.

skills/claude/research-feishu-report-cocreate/SKILL.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Feishu Report Cocreation

Use only for high-standard topic-sharing reports with explicit audience, decision value, and structured delivery.

Start with:

contracts/mode_policy.yaml
contracts/gates.yaml
references/workflow_v2.md

If mode is heavy_topic_report, also load:

contracts/topic_report_brief.schema.yaml
contracts/expert_panels.yaml
contracts/rubric.yaml
contracts/state_machine.yaml
references/research_cocreate_rules.md
references/creator_first_source_rules.md
references/non_consensus_insight_rules.md
references/reader_first_narrative_rules.md
references/case_packet_rules.md
references/report_visual_rules.md
references/local_only_synthesis_rules.md

Load on demand:

references/native_dossier_rules.md
references/feishu_publish_qa_rules.md
references/interactive_html_render_rules.md
references/main_doc_review_rules.md
references/eval_rules.md

Mandatory clarification loop

Before deep research, figure planning, or drafting:

do one short framing pass
sketch the initial plan
scan the evidence boundary

Then ask the user 2-3 high-leverage clarification questions and wait for confirmation.

Prioritize:

audience
ideal-state result standard; make it as specific, evaluable, measurable, and quantifiable as possible
decision goal or quality bar
scope, source boundary, delivery shape, and must-include constraints

The clarification loop must align on what "excellent" looks like for this report using concrete acceptance criteria, evaluation dimensions, thresholds, examples, or numeric targets whenever possible.

Mode route

light: use the four-stage skeleton only
mid: expand one or two checkpoints
local_only_synthesis: keep the contract, compress intermediate states into final artifacts, and stay explicit about bounded evidence
heavy_topic_report: load contracts and follow the report-first path

Required heavy-mode panels:

ideal_state_panel
evidence_panel
acceptance_panel

Read the full file on GitHub · 138 lines

Files

What ships with it

31 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.

Changes

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 · 138 lines · 46 tokens per session scan A 0105156d5bfc

Subscribe to this mod's changes

research-feishu-report-cocreate is a skill published in the GitHub repository leohuang0423/deepresearch-report-feishu-skill (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 46 tokens to every session and 959 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.

Claude Code Research Writing and docs agent-skills ai-agents codex deep-research feishu

research-feishu-report-cocreate

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

Research Feishu Report Cocreation

Mandatory clarification loop

Mode route

What ships with it

What this file has done since we first saw it

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