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 jimmc414/claude-code-plugin-marketplace --skill intern-symbols-identitygit clone --depth 1 https://github.com/jimmc414/claude-code-plugin-marketplaceWrote 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/jimmc414/claude-code-plugin-marketplace/intern-symbols-identity)<a href="https://agentmods.dev/skills/jimmc414/claude-code-plugin-marketplace/intern-symbols-identity"><img src="https://agentmods.dev/badge/skills/jimmc414/claude-code-plugin-marketplace/intern-symbols-identity/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/jimmc414/claude-code-plugin-marketplace/intern-symbols-identity"><img src="https://agentmods.dev/badge/skills/jimmc414/claude-code-plugin-marketplace/intern-symbols-identity.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 | $0.00033 | $0.00684 |
| Opus 5 | $0.00016 | $0.00342 |
| Sonnet 5 | $0.00007 | $0.00137 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
intern-symbols-identity 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 11d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
intern-symbols-identity
When to Use
- Building interpreters/compilers
- Need fast identity comparison (
isvs==) - Symbol tables
- Interned strings
- Singleton patterns for symbols
When NOT to Use
- String comparison is fast enough
- Symbols are temporary/disposable
- No performance benefit
The Pattern
Use a table to ensure each unique symbol exists only once.
class Symbol(str):
"""A symbol is a unique string."""
pass
def Sym(s, symbol_table={}):
"""Return the unique Symbol for string s."""
if s not in symbol_table:
symbol_table[s] = Symbol(s)
return symbol_table[s]
# Now identity comparison works
quote = Sym('quote')
assert Sym('quote') is quote # Same object!
assert Sym('quote') is Sym('quote') # Always same object
# Fast dispatch with 'is'
if x[0] is quote: # Faster than x[0] == 'quote'
return handle_quote(x)
Example (from pytudes lispy.py)
class Symbol(str):
"""A Lisp Symbol is implemented as a Python str subclass."""
pass
def Sym(s, symbol_table={}):
"""Find or create unique Symbol entry for str s in symbol table."""
if s not in symbol_table:
symbol_table[s] = Symbol(s)
return symbol_table[s]
# Pre-intern common symbols
_quote, _if, _set, _define, _lambda, _begin, _definemacro = map(Sym,
"quote if set! define lambda begin define-macro".split())
_quasiquote, _unquote, _unquotesplicing = map(Sym,
"quasiquote unquote unquote-splicing".split())
# Fast dispatch in eval using 'is'
def eval(x, env=global_env):
if isinstance(x, Symbol):
return env.find(x)[x]
elif not isinstance(x, list):
return x
elif x[0] is _quote: # Fast identity check
return x[1]
elif x[0] is _if: # Fast identity check
(_, test, conseq, alt) = x
return eval(conseq if eval(test, env) else alt, env)
elif x[0] is _define: # Fast identity check
(_, var, exp) = x
env[var] = eval(exp, env)
# ... more special forms
# Note: Using 'is' instead of '==' because symbols are interned
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.
- 11d ago First seen · 90 lines · 33 tokens per session scan A a4b6a3f1ddb7
intern-symbols-identity is a skill published in the GitHub repository jimmc414/claude-code-plugin-marketplace (4 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 684 once invoked, about $0.0002 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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