Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/sarveshtalele/linkedin-content-skillnpx agentmods add skills/sarveshtalele/linkedin-content-skill/show-memoryWrote 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/sarveshtalele/linkedin-content-skill/show-memory)<a href="https://agentmods.dev/skills/sarveshtalele/linkedin-content-skill/show-memory"><img src="https://agentmods.dev/badge/skills/sarveshtalele/linkedin-content-skill/show-memory/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/sarveshtalele/linkedin-content-skill/show-memory"><img src="https://agentmods.dev/badge/skills/sarveshtalele/linkedin-content-skill/show-memory.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 | $0.00015 | $0.00131 |
| Opus 5.5 | $0.00006 | $0.00052 |
| Sonnet 5.5 | $0.00003 | $0.00026 |
| Haiku 4.5 | $0.00002 | $0.00013 |
Grade A, and why
show-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 1mo 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.
What it actually says
Read Memory
python3 scripts/memory_manager.py read
Display the memory contents cleanly. At the top summarise:
- How many feedback entries exist in the log
- What the current primary niche is set to
- What tone/style is configured
Then show the full memory content.
At the bottom remind the user:
💡 Edit
memory.mdin.claude/skills/scripts/to set your niche and tone. Use/feedbackto add new learnings.
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.
- 1mo ago First seen · 21 lines · 0 tokens per session scan A 3d9c1dd9533d
show-memory is a skill published in the GitHub repository sarveshtalele/linkedin-content-skill (9 stars, last pushed 4mo ago), licensed MIT. It adds 15 tokens to every session and 131 once invoked, about $0.0001 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.
Other skills, from other repositories
handoff
Create a structured session handoff when context is running low or work is pausing. Deep context mining, self-validation, multi-file splitting. Captures everything the next session needs.
recall
Reconstruct and narrate the current development context from contextual commits. Run at session start, when resuming work, or when switching branches. Produces a brief, conversational summary of where things stand.
session-handoff
Use when the user says "session handoff", "wrap up session", "hand off", "handoff summary", "let's wrap up", "summarize before I clear", or wants a structured end-of-session summary before clearing context. Also use proactively when the user says they are about to /clear and no handoff has been produced yet. Generates…
engineering-historian
Capture engineering knowledge as a promotion pipeline (CASE → JUDGMENT → PRINCIPLE → STANDARD) and retrieve answers from it. Capture is automatic — a post-session sweep drafts cases with status:auto; the user reviews them at /distill. Use whenever the user types "/history", "/case", or "/distill", says "log this…
brain-keeper
When the user wants to ingest sources, change brain pages, register decisions, catalog content publications, or lint brain pages for provenance and link integrity.
notebook
Project notes system to prevent AI context loss and reasoning loops. Init notes, save mid-flow, recover context, migrate messy notes, resolve lessons. Subcommands: /notebook, /notebook save, /notebook recover, /notebook migrate.