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 DizzyMii/fable-skills --skill fable-context-thriftgit clone --depth 1 https://github.com/DizzyMii/fable-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/dizzymii/fable-skills/fable-context-thrift)<a href="https://agentmods.dev/skills/dizzymii/fable-skills/fable-context-thrift"><img src="https://agentmods.dev/badge/skills/dizzymii/fable-skills/fable-context-thrift/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/dizzymii/fable-skills/fable-context-thrift"><img src="https://agentmods.dev/badge/skills/dizzymii/fable-skills/fable-context-thrift.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 | $0.00056 | $0.00687 |
| Opus 5.5 | $0.00022 | $0.00275 |
| Sonnet 5.5 | $0.00011 | $0.00137 |
| Haiku 4.5 | $0.00006 | $0.00069 |
Grade A, and why
fable-context-thrift 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 — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Thrift
Overview
Context is the budget everything else is paid from. Spend it on what changes your next action; nothing else.
Rules
- Independent calls go in one parallel block. Multiple greps, reads, status checks — batch them. Sequencing independent reads adds latency, not care.
- Read targeted. The symbol or section, not the file. Widen only when a specific question demands it.
- Delegate sweeps, keep lookups. Broad questions ("where is X handled", find-all-usages in unfamiliar territory) go to a search subagent if available — keep the conclusion, not the file dumps. Known single lookups stay direct. "The subagent is for when I don't know where things live."
- The tool is the confirmation. Never re-read a file to check an edit landed; the edit tool fails loudly. Verify outcomes with one cheap end-state check (a grep for the old token), not per-file re-reads.
- Established facts stay established. What the conversation already verified, don't re-derive. What the user already decided, don't reopen.
- Don't narrate options you won't pursue. Deliberation is for choices you might actually make.
- Enough-to-act test. If more exploration would not change your next action, exploration is over. Act.
Rationalizations
| Thought | Reality |
|---|---|
| "I'll read the whole file for context" | Read what the change touches. The question you're answering defines the lines you need. |
| "Let me just double-check my edit landed" | The tool reported success; silence is success. One end-state grep beats N re-reads. |
| "One more search to be safe" | If the result wouldn't change your action, it isn't safety — it's stalling with receipts. |
| "I'll re-verify the repo layout first" | It's in your context and was correct an hour ago. Directory trees don't rot mid-session. |
| "Careful means one call at a time" | Careful means right calls. Independent lookups in sequence is the same work, slower. |
| "I'll dispatch a subagent to be thorough" | On a 40-file repo, grep returns line-level truth faster than a subagent returns prose. Match the tool to the territory. |
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 · 57 lines · 56 tokens per session scan A f1ae08e9c1bb
fable-context-thrift is a skill published in the GitHub repository DizzyMii/fable-skills (56 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 687 once invoked, about $0.0002 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 2026-08-30.
fable-context-thrift compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| fable-context-thriftDizzyMii/fable-skills | Skill | 56 | 1mo ago | MIT | A | 56 | Claude Code, Codex |
| reportcwinvestments/memstack | Skill | 429 | 13d ago | MIT | A | 67 | Claude Code |
| token-optimizationcwinvestments/memstack | Skill | 429 | 13d ago | MIT | A | 79 | Claude Code |
| statecwinvestments/memstack | Skill | 429 | 13d ago | MIT | A | 29 | Claude Code |
| grimoirecwinvestments/memstack | Skill | 429 | 13d ago | MIT | A | 28 | Claude Code |
| microservices-architecturetravisjneuman/.claude | Skill | 107 | yesterday | MIT | A | 30 | Claude Code, Codex |
| ai-ml-developmenttravisjneuman/.claude | Skill | 107 | yesterday | MIT | A | 43 | Claude Code, Codex |