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 mashhoorahdal/shipd-olympus-skill --skill skillgit clone --depth 1 https://github.com/mashhoorahdal/shipd-olympus-skillWrote 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/mashhoorahdal/shipd-olympus-skill/skill)<a href="https://agentmods.dev/skills/mashhoorahdal/shipd-olympus-skill/skill"><img src="https://agentmods.dev/badge/skills/mashhoorahdal/shipd-olympus-skill/skill/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/mashhoorahdal/shipd-olympus-skill/skill"><img src="https://agentmods.dev/badge/skills/mashhoorahdal/shipd-olympus-skill/skill.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 | $0.00079 | $0.02803 |
| Opus 5 | $0.00039 | $0.01401 |
| Sonnet 5 | $0.00016 | $0.00561 |
| Haiku 4.5 | $0.00008 | $0.00280 |
Grade A, and why
shipd-olympus 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 9d 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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shipd Olympus Submissions
Overview
An Olympus submission = repo@commit + problem description + hidden tests + golden solution + Dockerfile. Tasks must be HARD enough that state-of-the-art agents fail at least half their runs — a one-file fix is an instant rejection. The approved shape: a new "family" of related functionality mirroring something the repo already has, 200+ effective solution LOC, 40+ deterministic tests.
1. Repo eligibility (check ALL before investing)
gh repo view OWNER/REPO --json stargazerCount,licenseInfo,pushedAt,primaryLanguage
- License: permissive only (MIT/Apache/BSD). GitHub API
"other"≠ fail — read the LICENSE file (some repos show "other" but are Apache-2.0; others show "other" but are GPL → disqualified). - Stars: 500+. Activity: commit within 12 months (verify
pushedAtarithmetic — "3 months ago" passes, don't confuse with a 3-month rule). - Language: TS/JS/Python/Go/Rust/C++/Java. Pin commit = head of default branch.
- In the platform form, paste the exact
https://github.com/owner/repoURL — its search surfaces forks (0 stars) and some repos are blocked outright.
2. Task design — aim below the 50% bar
The platform rejects tasks agents pass more than half the time. Design for failure up front; don't hope the batch comes back hard.
Hard is designed, not found. Searching issue trackers for "hard problems" mostly surfaces chores (docs, typings, build config). Instead: pick a complex subsystem in an eligible repo (parser, type dispatcher, scheduler, query planner) and design a feature family that must integrate with it correctly.
Difficulty archetypes, ranked by difficulty gained per spec word spent:
- Convention traps — the spec picks ONE of several plausible conventions and agents implement a neighboring one. Quantile interpolation has ~9 textbook variants; rounding modes, date arithmetic, and string collation are similar minefields. One sentence of spec, an entire wrong-implementation class of failures.
- Exact-boundary rules — one sentence with several failure seams (e.g. weighted median: exact-half cumulative weight averages with the next larger distinct value; duplicates merge; fractional weights break expand-and-recount tricks).
- Non-inferable semantic substitution — the new function differs from its obvious sibling in one deliberate way (divisor uses total weight, not element count). Agents copy the sibling and fail.
- Cross-cutting invariants — one rule enforced at N call sites; agents patch two of four.
- Long wiring chains — the feature must register in 5+ places (factory list, type definitions, docs registry, parser exposure); missing one fails a test non-obviously. Also lifts the LOC and file-count medians the platform requires.
- Parser/compiler surface — grammar, precedence, round-trip printing. Hardest per run, but the spec cost is high; use when the repo's parser is the complex subsystem.
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.
- 9d ago First seen · 146 lines · 79 tokens per session scan A 9a8c027cdd6c
shipd-olympus is a skill published in the GitHub repository mashhoorahdal/shipd-olympus-skill (6 stars, last pushed 1mo ago), licensed MIT. It adds 79 tokens to every session and 2,803 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 2026-08-31.
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workflow-patterns
Use this skill when implementing tasks according to Conductor's TDD workflow, handling phase checkpoints, managing git commits for tasks, or understanding the verification protocol.
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Changelog Test Mapper
Map changelog entries and release notes to affected test cases, ensuring every user-facing change has corresponding test coverage verification.