add-parser

add-parser is a skill for Claude Code, Codex from aropan/clist. It costs 77 tokens per session (1,043 once invoked), scanned A, original, Apache-2.0.

A workflow for adding, repairing, or debugging a CLIST contest standings parser. A parser reads a contest website's data and converts it into the ranking system's expected format.

In plain words
What is it for?
Use it when working on judge scrapers in the ranking modules, adding a new leaderboard source, fixing standings parsing, or testing a contest re-parse.
Why use it?
It explains the required interface and project conventions, reducing the chance that a new scraper breaks standings or contest metadata. It also encourages comparison with existing parsers.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/aropan/clist/add-parser
Any agent
npx skills add aropan/clist --skill add-parser
Clone the repo
git clone --depth 1 https://github.com/aropan/clist

Made for: Claude Code, Codex.

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.

agentmods badge for add-parser

README.md
[![agentmods](https://agentmods.dev/badge/skills/aropan/clist/add-parser.svg)](https://agentmods.dev/skills/aropan/clist/add-parser)
Your own site
<a href="https://agentmods.dev/skills/aropan/clist/add-parser"><img src="https://agentmods.dev/badge/skills/aropan/clist/add-parser.svg" alt="Measured on agentmods" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,043 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00077 $0.01043
Opus 5 $0.00039 $0.00522
Sonnet 5 $0.00015 $0.00209
Haiku 4.5 $0.00008 $0.00104

Measured 4d ago against content hash 8ca75eb82356, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

add-parser 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 4d 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.

.agents/skills/add-parser/SKILL.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Add or fix a CLIST parser

Each judge is one module in src/ranking/management/modules/<host>.py exposing a Statistic class that subclasses BaseModule. There are 85 existing modules — always read 2–3 similar ones first and copy their conventions.

The contract

from ranking.management.modules.common import REQ, BaseModule
from ranking.management.modules.excepts import ExceptionParseStandings


class Statistic(BaseModule):
    def get_standings(self, users=None, statistics=None, **kwargs):
        # Contest metadata is on self: self.url, self.key, self.info,
        # self.start_time, self.standings_url, self.resource, ...
        data = REQ.get(self.standings_url, return_json=True)   # or post=..., headers=...
        if not_ok(data):
            raise ExceptionParseStandings(data)

        result = {}
        for row_data in data['rows']:
            member = str(row_data['user_id'])          # stable unique handle
            row = result.setdefault(member, {'member': member})
            row['name'] = row_data['user_name']
            row['solving'] = row_data['score']          # number of solved / score
            row['place'] = row_data['rank']
            row.setdefault('info', {})['avatar'] = row_data.get('avatar')
        return {'result': result}

Return shape

get_standings returns a dict with at least result: a mapping of member -> row. Common row keys:

  • member (required, str) — stable per-user handle/id.
  • place, solving, name.
  • problems{short: {'result': '+', 'time': '01:23', ...}} per-problem.
  • info — extra per-row data (avatar, rating, country…).

Optional dict keys alongside result: problems (contest problem list), url, options, hidden_fields, season.

Rules of the road

  • Use REQ (from ...common import REQ) for HTTP — never raw requests. It handles cookies, proxies, retries. REQ.get(url, post=..., return_json=True, headers=...).
  • Reuse helpers in src/utils/: regex, timetools, and clist.templatetags.extras.get_item for safe nested lookups.
  • Raise ExceptionParseStandings (from .excepts) on bad/unexpected responses, not bare Exception.
  • Keep it minimal and match the style of neighboring modules. Don't add new dependencies.
  • Optional methods only if needed: get_users_infos(users, resource, accounts, pbar) (profile/rating data), get_source_code(contest, problem).

Read the full file on GitHub · 101 lines

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.

  1. 4d ago First seen · 101 lines · 77 tokens per session scan A 8ca75eb82356

Subscribe to this mod's changes

add-parser is a skill published in the GitHub repository aropan/clist (440 stars, last pushed 18d ago), licensed Apache-2.0. It adds 77 tokens to every session and 1,043 once invoked, about $0.0004 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 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens