Technical Analyst
tradermonty/claude-trading-skills
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs.
成长股估值口径手册(A 股为主,US/HK 通用):扣非×4 年化 PE、前瞻 PE、TTM PE 历史分位、PEG(扣非×4 PE ÷ 前瞻 CAGR)、前瞻 CAGR 与 TTM 同比交叉验证、一致预期分歧、四锚 PE 消化年数与"30 倍锚三铁律"、判读规则与常见错误。当任务涉及估值、PE、PEG、贵不贵、能不能消化、历史分位、一致预期时加载;只讨论概念、与估值无关的取数 / 行情 /…
Install Valuation
$ npx skills add simonlin1212/Vibe-Research --skill valuation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install simonlin1212/Vibe-Research valuation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/simonlin1212/Vibe-Research.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/valuation .claude/skills/valuation && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "valuation" agent skill from https://github.com/simonlin1212/Vibe-Research/tree/main/.agents/skills/valuation into .claude/skills/valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "valuation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/simonlin1212/Vibe-Research/tree/main/.agents/skills/valuationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add simonlin1212/Vibe-Research --skill valuation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install simonlin1212/Vibe-Research valuation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/simonlin1212/Vibe-Research.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/valuation .agents/skills/valuation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "valuation" agent skill from https://github.com/simonlin1212/Vibe-Research/tree/main/.agents/skills/valuation into .agents/skills/valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "valuation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add simonlin1212/Vibe-Research --skill valuation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install simonlin1212/Vibe-Research valuation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/simonlin1212/Vibe-Research.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/valuation .cursor/skills/valuation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "valuation" agent skill from https://github.com/simonlin1212/Vibe-Research/tree/main/.agents/skills/valuation into .cursor/skills/valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "valuation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/simonlin1212/Vibe-Research.git --path .agents/skills/valuation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add simonlin1212/Vibe-Research --skill valuation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install simonlin1212/Vibe-Research valuation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/simonlin1212/Vibe-Research.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/valuation .gemini/skills/valuation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "valuation" agent skill from https://github.com/simonlin1212/Vibe-Research/tree/main/.agents/skills/valuation into .gemini/skills/valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "valuation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install simonlin1212/Vibe-Research valuationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add simonlin1212/Vibe-Research --skill valuation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/simonlin1212/Vibe-Research.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/valuation .github/skills/valuation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "valuation" agent skill from https://github.com/simonlin1212/Vibe-Research/tree/main/.agents/skills/valuation into .github/skills/valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "valuation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add simonlin1212/Vibe-Research --skill valuation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install simonlin1212/Vibe-Research valuation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/simonlin1212/Vibe-Research.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/valuation .opencode/skills/valuation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "valuation" agent skill from https://github.com/simonlin1212/Vibe-Research/tree/main/.agents/skills/valuation into .opencode/skills/valuation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "valuation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
valuation- GitHub stars
- 2.7k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 397 words
- Files
- 1
- Skills in repo
- 6
- Repo updated
- First seen
- Licence
- MIT
At a glance
成长股估值口径手册(A 股为主,US/HK 通用):扣非×4 年化 PE、前瞻 PE、TTM PE 历史分位、PEG(扣非×4 PE ÷ 前瞻 CAGR)、前瞻 CAGR 与 TTM 同比交叉验证、一致预期分歧、四锚 PE 消化年数与"30 倍锚三铁律"、判读规则与常见错误。当任务涉及估值、PE、PEG、贵不贵、能不能消化、历史分位、一致预期时加载;只讨论概念、与估值无关的取数 / 行情 /…
- Works in 9 steps: 四条铁律 → 分子:PE 的三个口径(并列报,主用第一个) → 分母:可持续增速(主用前瞻 CAGR,强制交叉验证) → …
- Business, Finance & HR work in your project
- SKILL.md covers 0. 四条铁律, 1. 分子:PE 的三个口径(并列报,主用第一个), 2. 分母:可持续增速(主用前瞻 CAGR,强制交叉验证) and 3. 一致预期的可信度, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Valuation is an agent skill from simonlin1212/Vibe-Research. 成长股估值口径手册(A 股为主,US/HK 通用):扣非×4 年化 PE、前瞻 PE、TTM PE 历史分位、PEG(扣非×4 PE ÷ 前瞻 CAGR)、前瞻 CAGR 与 TTM 同比交叉验证、一致预期分歧、四锚 PE 消化年数与"30 倍锚三铁律"、判读规则与常见错误。当任务涉及估值、PE、PEG、贵不贵、能不能消化、历史分位、一致预期时加载;只讨论概念、与估值无关的取数 / 行情 / 公告问题不要加载。所有数字一律经 calc/ 计算,本 skill 只管口径与判读,不给价格锚、不给投资动作建议。
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Business, Finance & HR. The repository describes itself as: Vibe-Research：A 股、美股、港股的投研工作台 · 自选与持仓、每日复盘、产业资讯、产业研究、个股深挖、回测、研报库，168 个数据端点。支持 Claude Code、Codex、WorkBuddy 订阅或任意模型 API。 | A research workbench for China A-shares, US and HK stocks. The licence is MIT.
When your agent uses it
- Business, Finance & HR work in your project
Example prompts
- “30 倍锚三铁律”
- “/valuation”
Workflow steps
9 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit f4d4e0b. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Valuation loads about 1.1k tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 397 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from simonlin1212/Vibe-Research at commit f4d4e0b, republished under its MIT licence (© simonlin1212). 397 words, ~1,106 tokens.
Download SKILL.mdSave it as
.claude/skills/valuation/SKILL.md (or your agent's skills folder).- name
- valuation
- description
- 成长股估值口径手册(A 股为主,US/HK 通用):扣非×4 年化 PE、前瞻 PE、TTM PE 历史分位、PEG(扣非×4 PE ÷ 前瞻 CAGR)、前瞻 CAGR 与 TTM 同比交叉验证、一致预期分歧、四锚 PE 消化年数与"30 倍锚三铁律"、判读规则与常见错误。当任务涉及估值、PE、PEG、贵不贵、能不能消化、历史分位、一致预期时加载;只讨论概念、与估值无关的取数 / 行情 / 公告问题不要加载。所有数字一律经 calc/ 计算,本 skill 只管口径与判读,不给价格锚、不给投资动作建议。
成长股估值口径(valuation)
本 skill 是 company-research SOP 第 4 阶段(valuation)的口径说明书,也适用于任何"这家公司贵不贵"的讨论。原则:数字出自 calc,判读出自本手册,结论只到"情景 / 裁决点"为止(研究宪法 §0 第 2、3 条)。
0. 四条铁律
- 每一个 PE / CAGR / PEG / 年数都必须是一次
calc/cli.py调用的输出(带 calculation_id 与输入证据 id);没有对应证据就写"未获取:原因",不拿记忆或别的口径顶替。 - 不输出价格锚(目标价 / 合理价 / 买入价 / 止损价)。消化年数的"锚"是 PE 倍数情景,不是价格;报告里只给"情景 → 年数"表和裁决点。
- PEG 低 ≠ 安全:PEG 的分母(前瞻 CAGR)是整条计算里唯一的预测,周期一转 E 被下修、PEG 跳升。任何 PEG 判读必须同时给出"前瞻 vs TTM 事实是否对得上"。
- 单位与报告期随证据原样带入 calc,由 calc 归一;不在提示词里换算万元 / 亿元、不自己年化。
1. 分子:PE 的三个口径(并列报,主用第一个)
| 口径 | 公式(calc 函数) | 用途 | 已知的坑 |
|---|---|---|---|
| 扣非×4 年化 PE(主) | 总市值 ÷ (最新单季扣非净利润 × 4) → pe_deducted_annualized(total_market_cap, cap_unit, latest_quarter_deducted_profit, profit_unit) | 抓"当前运行速率",对快速成长股比 TTM 更不滞后 | 必用扣非、不用归母(单季×4 会把投资收益 / 补助 / 减值等一次性损益放大 4 倍);季节性:淡季单季×4 会高估 PE、旺季单季×4 会低估——淡旺季方向只能从该公司自己的单季序列判断(earnings-analysis §3),不得套用行业印象;判读时必须写明最新单季是哪个季度与方向性偏差 |
| 前瞻 PE | 现价 ÷ 一致预期 EPS(FY T 均值)→ forward_pe(price, eps_forecast) | 分析师已处理季节性;与扣非×4 对照看"市场在为哪一年定价" | 依赖一致预期质量(机构数 ≥ 3;见 §3) |
| TTM PE + 历史分位 | 总市值 ÷ 近 4 季净利和 → pe_ttm_from_parts(...),并与数据源 pe_ttm 交叉;分位 percentile_rank(history={"history_csv": {"raw_ref": <PE 历史 raw 文件>, "column": "peTTM", "where": {"tradestatus": "1"}, "date_column": "date"}}, current=pe_ttm)(CLI 序列输入形式见 calc/SPEC.md §3;不是把 history_csv / where 当顶层参数) | 历史位置参考;分位 < 20 个有效样本 → not_meaningful | 对快速成长股滞后偏高(把利润低的旧季度算进去);只作参考列,不作主判 |
T 的定义:T = 当前财年(Asia/Shanghai 当日所在年)。
2. 分母:可持续增速(主用前瞻 CAGR,强制交叉验证)
- 前瞻 CAGR = (一致预期 FY T+2 EPS ÷ FY T EPS)^(1/2) − 1 →
forward_cagr(eps_t, eps_t_plus_n, years=2)。最平滑、去基数去季节性;但它是最软的一环:卖方对热门赛道系统性乐观、远年样本薄、分歧大、会被持续修正。必须同时报 min / max 与机构数(consensus_dispersion(low, mean, high),看 max ÷ min 与 (max − min) ÷ mean)。 - TTM 同比(事实,去季节性去单季基数)= 近 4 季净利和 ÷ 前 4 季净利和 − 1 →
ttm_yoy(single_quarters, end_period, unit, money=true);主用归母口径(与一致预期 EPS 同口径),扣非口径并列交叉。 - 交叉验证判读 →
forward_vs_ttm_judgement(forward_cagr_value, ttm_yoy_value, tolerance_pp=10):approx(前瞻 ≈ TTM:增长已兑现,前瞻可信)/forward_below(前瞻远低于 TTM:市场在赌大幅减速,要问为什么)/forward_above(前瞻远高于 TTM:分析师在画饼,PEG 失真风险最高)。 - 两个禁用项:❌ 单季同比做分母(去年同期低基数会假性吹大);❌ 环比做分母(季节性把增长公司算成负,年化更爆炸)。✅ 环比(
qoq)只作"拐点 / 动量"温度计,报告里标注为信号而非增速。
3. 一致预期的可信度
| 情形 | 处理 |
|---|---|
| 机构数 ≥ 3、min / max 齐 | 正常进 forward_cagr,报告列"机构数 · 区间" |
| 机构数 < 3 | 标"一致预期不可靠",仍可算但判读降级,裁决点里写"等更多覆盖" |
| 只有逐篇研报预测(东财备源) | 只能叫"逐篇预测",不得冒充一致预期、不得进 forward_cagr |
| 分歧 max ÷ min ≥ 2 | 明示"远年 EPS 分歧 ≥ 2 倍,PEG / 年数区间应按 min–max 各算一遍而不是只看均值" |
Show full SKILL.md (171 more words)Show less
4. 判读表
| PEG(扣非×4 ÷ 前瞻 CAGR) | 初判 | 必须叠加 |
|---|---|---|
| < 1 | 增长能消化估值 | 前瞻 vs TTM = approx 才算"便宜";forward_above 时写"便宜是预测给的" |
| ≈ 1 | 合理 | 同上 |
| > 1.5–2 | 贵 | 看是否"卡口越硬越贵"(不可替代性已被定价),见 industry-chain |
PEG 是成长性周期股的"便宜陷阱"高发区:周期见顶前 PE 最低(E 在顶)。任何 PEG < 1 的结论必须附一条反证(catalyst-risk §2)。
5. 四锚 PE 消化年数与"30 倍锚三铁律"
pe_digestion_years(pe, cagr, anchor) = ln(PE ÷ 锚) ÷ ln(1 + CAGR);PE ≤ 锚 → 0 年(details.below_anchor)。pe_digestion_scenarios(pe, cagr) 一次算四个锚:景气延续 30 / 中性减速 25 / 周期重定级上沿 22 / 下沿 18(倍)。
- 四个锚是情景,不是预测:报告必须四个一起给,并写明每个情景对应的裁决数据(例如下游资本开支指引、价格 / 租金温度计、排产月度数据)。
- 30 倍锚三铁律:① 30x 只乘"已锁 / 近锁"的利润(业绩预告、当年在手订单),永不乘远期(T+2)共识来做判断——那是"为永远缺付永续溢价"的数学形式;② 锚跟裁决数据切换:景气延续用 30、减速用 25、重定级用 18–22,切换条件写进裁决点;③ 结论按情景分别表述:"某结论只在 30x 情景成立 / 某结论在 25x 情景也成立"——只描述情景成立条件,不翻译成仓位或买卖建议。
- 历史中枢:本 skill 不给任何公司或行业的 PE 中枢数值;需要"历史位置"一律用
fetch_pe_history的实测序列经percentile_rank得出分位,并写明样本期间。
6. 标准产出列(与 SOP §1 valuation 阶段一致)
扣非×4 PE | 前瞻 PE | TTM PE(分位) | ★PEG(扣非×4 ÷ 前瞻 CAGR) | 前瞻 CAGR(机构数 · 区间) | TTM 同比(交叉验证) | 环比(拐点) | 四锚消化年数 | 前瞻 vs TTM 判读
每一格:calculation_id,或"未获取:原因"(走 SOP §2 的结构化缺口),或 not_meaningful(如实写明无意义域:PE ≤ 0 / CAGR ≤ 0 / 样本不足)。
7. 周期性成长股校准(周期一转,E 先于 P 变)
- 高 PE 不一定贵(周期底 E 被压)、低 PE 不一定便宜(周期顶 E 在峰值)——先判断周期位置(行业产能 / 价格 / 下游资本开支),再看 PE。
- 前瞻 CAGR 在周期顶附近系统性偏乐观;用 TTM 同比 + 环比拐点 + 行业月度数据三者一起看"加速还是减速"。
- 报告里的"估值"段必须写清:当前 PE 用的是哪一期单季、季节性方向、前瞻 CAGR 的机构数与区间、判读结论与它成立的前提。
8. 常见错误清单(自查)
- 用归母单季×4 当扣非×4(一次性损益被放大)。
- 用单季同比 / 环比做 PEG 分母。
- 只看一致预期均值不看区间和机构数。
- 把逐篇研报预测当一致预期。
- 消化年数只给一个锚;或把远期共识乘 30x。
- 给出价格锚、目标价、"合理市值"。
- 自己换算单位或年化(应交 calc)。
- 分位样本 < 20 还报分位。
© simonlin1212, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .agents/skills/valuation of simonlin1212/Vibe-Research.
Open the folder on GitHubat commit f4d4e0b
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in simonlin1212/Vibe-Research, which our catalogue first saw on October 10, 2026.
Compare with similar skills
Valuation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Valuation this skillsimonlin1212/Vibe-Research | 2.7k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Technical Analysttradermonty/claude-trading-skills | 3k | 4 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Theme Detectortradermonty/claude-trading-skills | 3k | 2 repos | ~4.9k | Automated safety check: Pass | MIT | |
| Creating Financial ModelsChen-zexi/open-ptc-agent | 729 | 3 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Stock APIzhangxiangliang/stock-api | 2k | — | ~507 | Automated safety check: Pass | MIT | |
| Itr Walakaranb192/itr-wala | 871 | — | ~3.6k | Automated safety check: Pass | MIT |
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Questions about Valuation
What does Valuation do?
成长股估值口径手册(A 股为主,US/HK 通用):扣非×4 年化 PE、前瞻 PE、TTM PE 历史分位、PEG(扣非×4 PE ÷ 前瞻 CAGR)、前瞻 CAGR 与 TTM 同比交叉验证、一致预期分歧、四锚 PE 消化年数与"30 倍锚三铁律"、判读规则与常见错误。当任务涉及估值、PE、PEG、贵不贵、能不能消化、历史分位、一致预期时加载;只讨论概念、与估值无关的取数 / 行情 /…. Valuation is an agent skill from simonlin1212/Vibe-Research.
When should I use Valuation?
Valuation fits situations like: business, Finance & HR work in your project.
How do I install Valuation in Claude Code?
Run `npx skills add simonlin1212/Vibe-Research --skill valuation -a claude-code`. Or copy the skill folder (.agents/skills/valuation in simonlin1212/Vibe-Research) into .claude/skills/valuation in your project. Claude Code loads it when a task matches its description.
How do I install Valuation in Codex?
Run `npx skills add simonlin1212/Vibe-Research --skill valuation -a codex`. Or copy the skill folder (.agents/skills/valuation in simonlin1212/Vibe-Research) into .agents/skills/valuation in your project. Codex loads it when a task matches its description.
Can I use Valuation in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add simonlin1212/Vibe-Research --skill valuation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/valuation, .gemini/skills/valuation, .github/skills/valuation and .opencode/skills/valuation in your project.
What does Valuation need to run?
SKILL.md names no scripts, command-line tools or credentials: Valuation is instructions for the agent only.
Does Valuation access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Valuation safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Valuation use?
Valuation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Valuation use?
About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Valuation?
Skills that share tags, products or a category with Valuation: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Theme Detector (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars) and Stock API (zhangxiangliang/stock-api, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Valuation?
simonlin1212 (a GitHub user) maintains it in simonlin1212/Vibe-Research, which has 2,651 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 10, 2026.
Source: simonlin1212/Vibe-Research on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.