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 shaharsha/claude-skills --skill writing-project-instructionsgit clone --depth 1 https://github.com/shaharsha/claude-skillsWrote 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/shaharsha/claude-skills/writing-project-instructions)<a href="https://agentmods.dev/skills/shaharsha/claude-skills/writing-project-instructions"><img src="https://agentmods.dev/badge/skills/shaharsha/claude-skills/writing-project-instructions/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/shaharsha/claude-skills/writing-project-instructions"><img src="https://agentmods.dev/badge/skills/shaharsha/claude-skills/writing-project-instructions.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 | $0.00185 | $0.02436 |
| Opus 5.5 | $0.00074 | $0.00974 |
| Sonnet 5.5 | $0.00037 | $0.00487 |
| Haiku 4.5 | $0.00018 | $0.00244 |
Grade A, and why
writing-project-instructions 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 2mo 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writing project memory
CLAUDE.md (and the cross-agent equivalent AGENTS.md) is the file an AI coding agent reads at the start of every session for project context. It compounds in value but bloats easily, and bloated files get ignored — Claude drops rules when the file is too long.
The single most important test
Before keeping any line, ask: "Would removing this cause the agent to make a specific, identifiable mistake?"
If you can't articulate the specific mistake the line prevents, cut the line.
What to include vs exclude (Anthropic's cardinal rule)
| ✅ Include | ❌ Exclude |
|---|---|
Bash commands the agent can't guess (bun test, custom scripts) |
Anything visible from package.json, tsconfig.json, or ls |
| Code style rules that differ from language defaults | Standard conventions (async/await, const over var, etc.) |
| Repository etiquette (branch naming, commit format, PR rules) | Self-evident practices ("write clean code", "be helpful") |
| Architectural decisions specific to the project (why X not Y) | Long explanations or tutorials — link to docs/X.md instead |
| Required env vars, ports, OS quirks | File-by-file directory listings — the agent can ls |
| Common gotchas / non-obvious foot-guns | Stale rules referencing tools you no longer use |
Length and structure
- Target: under 200 lines per file. Official wording: "target under 200 lines per CLAUDE.md file. Longer files consume more context and reduce adherence."
- It's a soft target, not a cliff — don't over-index on it. CLAUDE.md is never truncated: "CLAUDE.md files are loaded in full regardless of length, though shorter files produce better adherence." Nothing breaks at line 201; adherence decays gradually. A 250-line file of real foot-guns beats a 190-line file that cut them to hit a number.
- Don't confuse it with the auto-memory cap. The hard 200-line/25KB limit applies only to auto memory's
MEMORY.md, where content past the limit is silently dropped at load. Different file, different rule. - Too long and Claude ignores half of it: important rules get lost in the noise.
- Use markdown headers (
## Build,## Style) and bullets — not dense prose. - Run
/doctor(v2.1.206+) to get trims proposed against the real criteria: it cuts what Claude can derive from the codebase (directory layouts, dependency lists, architecture overviews) and keeps pitfalls, rationale, and conventions that differ from tool defaults. Prefer it to eyeballing. It rightsizes skills as well as CLAUDE.md files. - In a shared repo, give the file an owner and review changes to it like code. CLAUDE.md grows the way any unowned config file does — every team appends, nobody deletes — and every line then loads for every engineer on every session whether it's relevant or not. In a monorepo, give each team's directory its own subdirectory CLAUDE.md; developers can set
claudeMdExcludesto skip files from teams whose code they never touch. - If you cross 200 and can't trim, split conditional content into
.claude/rules/<topic>.mdwithpaths:frontmatter (loads only when matching files are read). - ⚠️
.claude/rules/is Claude-only. If the repo keeps instructions inAGENTS.mdfor cross-agent parity (Codex/Cursor/Gemini read it; Claude reaches it via@AGENTS.md), moving content into.claude/rules/makes it invisible to every other agent. Weigh the context saving against breaking the parity AGENTS.md exists for — usually not worth it for a few lines. - Splitting into
@pathimports does not save context — imported files load in full at launch. Onlypaths:-scoped rules and skills reduce startup context.
What ships with it
1 file 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.
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.
- 2mo ago First seen · 98 lines · 185 tokens per session scan A be373c0b5a88
writing-project-instructions is a skill published in the GitHub repository shaharsha/claude-skills (6 stars, last pushed today), licensed MIT. It adds 185 tokens to every session and 2,436 once invoked, about $0.0007 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 2026-08-31.
writing-project-instructions compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| writing-project-instructionsshaharsha/claude-skills | Skill | 6 | today | MIT | A | 185 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |