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 agentmods add skills/natsummerance/readmd/story-memorynpx skills add Natsummerance/readMD --skill story-memorygit clone --depth 1 https://github.com/Natsummerance/readMDWrote 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/natsummerance/readmd/story-memory)<a href="https://agentmods.dev/skills/natsummerance/readmd/story-memory"><img src="https://agentmods.dev/badge/skills/natsummerance/readmd/story-memory.svg" alt="Measured on agentmods" 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 | $0.00064 | $0.00235 |
| Opus 5 | $0.00032 | $0.00118 |
| Sonnet 5 | $0.00013 | $0.00047 |
| Haiku 4.5 | $0.00006 | $0.00023 |
Grade A, and why
story-memory 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.
This is a copy
89% identical to story-memory — 11 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Story Memory
Knowledge that must survive the current pass: canon facts, context handoffs, vocab/reference material, project layout, and persistent issues.
Load the resource needed:
resources/story-context.md— what context to pass into handoffs for writers, critics, brainstormers, and knowledge agents.resources/fact-extraction.md— extract durable facts from chapters: character state, timeline, reveals, terminology.resources/story-reference-writing.md— wiki pages, vocab, decisions, summaries, issue logs.resources/writing-artifacts.md— where work and kb artifacts live.resources/writing-issues.md— persistent writing issue tracking across chapters.
What ships with it
6 files 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.
- 4d ago First seen · 26 lines · 64 tokens per session scan A 629a2d16ed06
story-memory is a skill published in the GitHub repository Natsummerance/readMD (21 stars, last pushed today), licensed MIT. It adds 64 tokens to every session and 235 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to story-memory, differing in 11 lines, and is treated as a copy.
Other skills, from other repositories
memory
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trellis-update-spec
Captures executable contracts and coding conventions into .trellis/spec/ documents. Use when learning something valuable from debugging, implementing, or discussion that should be preserved for future sessions.
trellis-session-insight
Reach into past AI conversation history through the trellis mem CLI. Use whenever the user asks 'how did we solve X last time', 'have we discussed this before', 'what was the decision on X', 'remind me what we did in this task', '上次怎么解的', '之前讨论过吗', '想起一段对话', or when starting a brainstorm that overlaps prior work…
trellis-continue
Resume work on the current task. Loads the workflow Phase Index, figures out which phase/step to pick up at, then pulls the step-level detail via getcontext.py --mode phase. Use when coming back to an in-progress task and you need to know what to do next.
kb-ingest
Ingest documents from the workhub vault inbox into the knowledge base. Classifies notes into projects/knowledge/archive, proposes tasks for actionable items, links, and indexes. Use when new notes land in inbox/ or a path needs filing.
kb-index
Update the workhub vault knowledge base indexes (projects/knowledge/archive index.md files). Smart mode detects changes and updates only what's needed. Full rebuild available with --full flag. Use after adding/moving documents or when indexes feel stale.